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The Most Important Research Skills (With Examples)

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Research skills are the ability to find out accurate information on a topic. They include being able to determine the data you need, find and interpret those findings, and then explain that to others. Being able to do effective research is a beneficial skill in any profession, as data and research inform how businesses operate.

Whether you’re unsure of your research skills or are looking for ways to further improve them, then this article will cover important research skills and how to become even better at research.

Key Takeaways

Having strong research skills can help you understand your competitors, develop new processes, and build your professional skills in addition to aiding you in finding new customers and saving your company money.

Some of the most valuable research skills you can have include goal setting, data collection, and analyzing information from multiple sources.

You can and should put your research skills on your resume and highlight them in your job interviews.

What are research skills?

Why are research skills important, 12 of the most important research skills, how to improve your research skills, highlighting your research skills in a job interview, how to include research skills on your resume, resume examples showcasing research skills, research skills faqs.

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Research skills are the necessary tools to be able to find, compile, and interpret information in order to answer a question. Of course, there are several aspects to this. Researchers typically have to decide how to go about researching a problem — which for most people is internet research.

In addition, you need to be able to interpret the reliability of a source, put the information you find together in an organized and logical way, and be able to present your findings to others. That means that they’re comprised of both hard skills — knowing your subject and what’s true and what isn’t — and soft skills. You need to be able to interpret sources and communicate clearly.

Research skills are useful in any industry, and have applications in innovation, product development, competitor research, and many other areas. In addition, the skills used in researching aren’t only useful for research. Being able to interpret information is a necessary skill, as is being able to clearly explain your reasoning.

Research skills are used to:

Do competitor research. Knowing what your biggest competitors are up to is an essential part of any business. Researching what works for your competitors, what they’re doing better than you, and where you can improve your standing with the lowest resource expenditure are all essential if a company wants to remain functional.

Develop new processes and products. You don’t have to be involved in research and development to make improvements in how your team gets things done. Researching new processes that make your job (and those of your team) more efficient will be valued by any sensible employer.

Foster self-improvement. Folks who have a knack and passion for research are never content with doing things the same way they’ve always been done. Organizations need independent thinkers who will seek out their own answers and improve their skills as a matter of course. These employees will also pick up new technologies more easily.

Manage customer relationships. Being able to conduct research on your customer base is positively vital in virtually every industry. It’s hard to move products or sell services if you don’t know what people are interested in. Researching your customer base’s interests, needs, and pain points is a valuable responsibility.

Save money. Whether your company is launching a new product or just looking for ways to scale back its current spending, research is crucial for finding wasted resources and redirecting them to more deserving ends. Anyone who proactively researches ways that the company can save money will be highly appreciated by their employer.

Solve problems. Problem solving is a major part of a lot of careers, and research skills are instrumental in making sure your solution is effective. Finding out the cause of the problem and determining an effective solution both require accurate information, and research is the best way to obtain that — be it via the internet or by observation.

Determine reliable information. Being able to tell whether or not the information you receive seems accurate is a very valuable skill. While research skills won’t always guarantee that you’ll be able to tell the reliability of the information at first glance, it’ll prevent you from being too trusting. And it’ll give the tools to double-check .

Experienced researchers know that worthwhile investigation involves a variety of skills. Consider which research skills come naturally to you, and which you could work on more.

Data collection . When thinking about the research process, data collection is often the first thing that comes to mind. It is the nuts and bolts of research. How data is collected can be flexible.

For some purposes, simply gathering facts and information on the internet can fulfill your need. Others may require more direct and crowd-sourced research. Having experience in various methods of data collection can make your resume more impressive to recruiters.

Data collection methods include: Observation Interviews Questionnaires Experimentation Conducting focus groups

Analysis of information from different sources. Putting all your eggs in one source basket usually results in error and disappointment. One of the skills that good researchers always incorporate into their process is an abundance of sources. It’s also best practice to consider the reliability of these sources.

Are you reading about U.S. history on a conspiracy theorist’s blog post? Taking facts for a presentation from an anonymous Twitter account?

If you can’t determine the validity of the sources you’re using, it can compromise all of your research. That doesn’t mean just disregard anything on the internet but double-check your findings. In fact, quadruple-check. You can make your research even stronger by turning to references outside of the internet.

Examples of reliable information sources include: Published books Encyclopedias Magazines Databases Scholarly journals Newspapers Library catalogs

Finding information on the internet. While it can be beneficial to consulate alternative sources, strong internet research skills drive modern-day research.

One of the great things about the internet is how much information it contains, however, this comes with digging through a lot of garbage to get to the facts you need. The ability to efficiently use the vast database of knowledge that is on the internet without getting lost in the junk is very valuable to employers.

Internet research skills include: Source checking Searching relevant questions Exploring deeper than the first options Avoiding distraction Giving credit Organizing findings

Interviewing. Some research endeavors may require a more hands-on approach than just consulting internet sources. Being prepared with strong interviewing skills can be very helpful in the research process.

Interviews can be a useful research tactic to gain first-hand information and being able to manage a successful interview can greatly improve your research skills.

Interviewing skills involves: A plan of action Specific, pointed questions Respectfulness Considering the interview setting Actively Listening Taking notes Gratitude for participation

Report writing. Possessing skills in report writing can assist you in job and scholarly research. The overall purpose of a report in any context is to convey particular information to its audience.

Effective report writing is largely dependent on communication. Your boss, professor , or general reader should walk away completely understanding your findings and conclusions.

Report writing skills involve: Proper format Including a summary Focusing on your initial goal Creating an outline Proofreading Directness

Critical thinking. Critical thinking skills can aid you greatly throughout the research process, and as an employee in general. Critical thinking refers to your data analysis skills. When you’re in the throes of research, you need to be able to analyze your results and make logical decisions about your findings.

Critical thinking skills involve: Observation Analysis Assessing issues Problem-solving Creativity Communication

Planning and scheduling. Research is a work project like any other, and that means it requires a little forethought before starting. Creating a detailed outline map for the points you want to touch on in your research produces more organized results.

It also makes it much easier to manage your time. Planning and scheduling skills are important to employers because they indicate a prepared employee.

Planning and scheduling skills include: Setting objectives Identifying tasks Prioritizing Delegating if needed Vision Communication Clarity Time-management

Note-taking. Research involves sifting through and taking in lots of information. Taking exhaustive notes ensures that you will not neglect any findings later and allows you to communicate these results to your co-workers. Being able to take good notes helps summarize research.

Examples of note-taking skills include: Focus Organization Using short-hand Keeping your objective in mind Neatness Highlighting important points Reviewing notes afterward

Communication skills. Effective research requires being able to understand and process the information you receive, either written or spoken. That means that you need strong reading comprehension and writing skills — two major aspects of communication — as well as excellent listening skills.

Most research also involves showcasing your findings. This can be via a presentation. , report, chart, or Q&A. Whatever the case, you need to be able to communicate your findings in a way that educates your audience.

Communication skills include: Reading comprehension Writing Listening skills Presenting to an audience Creating graphs or charts Explaining in layman’s terms

Time management. We’re, unfortunately, only given 24 measly hours in a day. The ability to effectively manage this time is extremely powerful in a professional context. Hiring managers seek candidates who can accomplish goals in a given timeframe.

Strong time management skills mean that you can organize a plan for how to break down larger tasks in a project and complete them by a deadline. Developing your time management skills can greatly improve the productivity of your research.

Time management skills include: Scheduling Creating task outlines Strategic thinking Stress-management Delegation Communication Utilizing resources Setting realistic expectations Meeting deadlines

Using your network. While this doesn’t seem immediately relevant to research skills, remember that there are a lot of experts out there. Knowing what people’s areas of expertise and asking for help can be tremendously beneficial — especially if it’s a subject you’re unfamiliar with.

Your coworkers are going to have different areas of expertise than you do, and your network of people will as well. You may even know someone who knows someone who’s knowledgeable in the area you’re researching. Most people are happy to share their expertise, as it’s usually also an area of interest to them.

Networking involves: Remembering people’s areas of expertise Being willing to ask for help Communication Returning favors Making use of advice Asking for specific assistance

Attention to detail. Research is inherently precise. That means that you need to be attentive to the details, both in terms of the information you’re gathering, but also in where you got it from. Making errors in statistics can have a major impact on the interpretation of the data, not to mention that it’ll reflect poorly on you.

There are proper procedures for citing sources that you should follow. That means that your sources will be properly credited, preventing accusations of plagiarism. In addition, it means that others can make use of your research by returning to the original sources.

Attention to detail includes: Double checking statistics Taking notes Keeping track of your sources Staying organized Making sure graphs are accurate and representative Properly citing sources

As with many professional skills, research skills serve us in our day to day life. Any time you search for information on the internet, you’re doing research. That means that you’re practicing it outside of work as well. If you want to continue improving your research skills, both for professional and personal use, here are some tips to try.

Differentiate between source quality. A researcher is only as good as their worst source. Start paying attention to the quality of the sources you use, and be suspicious of everything your read until you check out the attributions and works cited.

Be critical and ask yourself about the author’s bias, where the author’s research aligns with the larger body of verified research in the field, and what publication sponsored or published the research.

Use multiple resources. When you can verify information from a multitude of sources, it becomes more and more credible. To bolster your faith in one source, see if you can find another source that agrees with it.

Don’t fall victim to confirmation bias. Confirmation bias is when a researcher expects a certain outcome and then goes to find data that supports this hypothesis. It can even go so far as disregarding anything that challenges the researcher’s initial hunch. Be prepared for surprising answers and keep an open mind.

Be open to the idea that you might not find a definitive answer. It’s best to be honest and say that you found no definitive answer instead of just confirming what you think your boss or coworkers expect or want to hear. Experts and good researchers are willing to say that they don’t know.

Stay organized. Being able to cite sources accurately and present all your findings is just as important as conducting the research itself. Start practicing good organizational skills , both on your devices and for any physical products you’re using.

Get specific as you go. There’s nothing wrong with starting your research in a general way. After all, it’s important to become familiar with the terminology and basic gist of the researcher’s findings before you dig down into all the minutia.

A job interview is itself a test of your research skills. You can expect questions on what you know about the company, the role, and your field or industry more generally. In order to give expert answers on all these topics, research is crucial.

Start by researching the company . Look into how they communicate with the public through social media, what their mission statement is, and how they describe their culture.

Pay close attention to the tone of their website. Is it hyper professional or more casual and fun-loving? All of these elements will help decide how best to sell yourself at the interview.

Next, research the role. Go beyond the job description and reach out to current employees working at your desired company and in your potential department. If you can find out what specific problems your future team is or will be facing, you’re sure to impress hiring managers and recruiters with your ability to research all the facts.

Finally, take time to research the job responsibilities you’re not as comfortable with. If you’re applying for a job that represents increased difficulty or entirely new tasks, it helps to come into the interview with at least a basic knowledge of what you’ll need to learn.

Research projects require dedication. Being committed is a valuable skill for hiring managers. Whether you’ve had research experience throughout education or a former job, including it properly can boost the success of your resume .

Consider how extensive your research background is. If you’ve worked on multiple, in-depth research projects, it might be best to include it as its own section. If you have less research experience, include it in the skills section .

Focus on your specific role in the research, as opposed to just the research itself. Try to quantify accomplishments to the best of your abilities. If you were put in charge of competitor research, for example, list that as one of the tasks you had in your career.

If it was a particular project, such as tracking the sale of women’s clothing at a tee-shirt company, you can say that you “directed analysis into women’s clothing sales statistics for a market research project.”

Ascertain how directly research skills relate to the job you’re applying for. How strongly you highlight your research skills should depend on the nature of the job the resume is for. If research looks to be a strong component of it, then showcase all of your experience.

If research looks to be tangential, then be sure to mention it — it’s a valuable skill — but don’t put it front and center.

Example #1: Academic Research

Simon Marks 767 Brighton Blvd. | Brooklyn, NY, 27368 | (683)-262-8883 | [email protected] Diligent and hardworking recent graduate seeking a position to develop professional experience and utilize research skills. B.A. in Biological Sciences from New York University. PROFESSIONAL EXPERIENCE Lixus Publishing , Brooklyn, NY Office Assistant- September 2018-present Scheduling and updating meetings Managing emails and phone calls Reading entries Worked on a science fiction campaign by researching target demographic Organizing calendars Promoted to office assistant after one year internship Mitch’s Burgers and Fries , Brooklyn, NY Restaurant Manager , June 2014-June 2018 Managed a team of five employees Responsible for coordinating the weekly schedule Hired and trained two employees Kept track of inventory Dealt with vendors Provided customer service Promoted to restaurant manager after two years as a waiter Awarded a $2.00/hr wage increase SKILLS Writing Scientific Research Data analysis Critical thinking Planning Communication RESEARCH Worked on an ecosystem biology project with responsibilities for algae collection and research (2019) Lead a group of freshmen in a research project looking into cell biology (2018) EDUCATION New York University Bachelors in Biological Sciences, September 2016-May 2020

Example #2: Professional Research

Angela Nichols 1111 Keller Dr. | San Francisco, CA | (663)-124-8827 |[email protected] Experienced and enthusiastic marketer with 7 years of professional experience. Seeking a position to apply my marketing and research knowledge. Skills in working on a team and flexibility. EXPERIENCE Apples amp; Oranges Marketing, San Francisco, CA Associate Marketer – April 2017-May 2020 Discuss marketing goals with clients Provide customer service Lead campaigns associated with women’s health Coordinating with a marketing team Quickly solving issues in service and managing conflict Awarded with two raises totaling $10,000 over three years Prestigious Marketing Company, San Francisco, CA Marketer – May 2014-April 2017 Working directly with clients Conducting market research into television streaming preferences Developing marketing campaigns related to television streaming services Report writing Analyzing campaign success statistics Promoted to Marketer from Junior Marketer after the first year Timberlake Public Relations, San Francisco, CA Public Relations Intern – September 2013–May 2014 Working cohesively with a large group of co-workers and supervisors Note-taking during meetings Running errands Managing email accounts Assisting in brainstorming Meeting work deadlines EDUCATION Golden Gate University, San Francisco, CA Bachelor of Arts in Marketing with a minor in Communications – September 2009 – May 2013 SKILLS Marketing Market research Record-keeping Teamwork Presentation. Flexibility

What research skills are important?

Goal-setting and data collection are important research skills. Additional important research skills include:

Using different sources to analyze information.

Finding information on the internet.

Interviewing sources.

Writing reports.

Critical thinking.

Planning and scheduling.

Note-taking.

Managing time.

How do you develop good research skills?

You develop good research skills by learning how to find information from multiple high-quality sources, by being wary of confirmation bias, and by starting broad and getting more specific as you go.

When you learn how to tell a reliable source from an unreliable one and get in the habit of finding multiple sources that back up a claim, you’ll have better quality research.

In addition, when you learn how to keep an open mind about what you’ll find, you’ll avoid falling into the trap of confirmation bias, and by staying organized and narrowing your focus as you go (rather than before you start), you’ll be able to gather quality information more efficiently.

What is the importance of research?

The importance of research is that it informs most decisions and strategies in a business. Whether it’s deciding which products to offer or creating a marketing strategy, research should be used in every part of a company.

Because of this, employers want employees who have strong research skills. They know that you’ll be able to put them to work bettering yourself and the organization as a whole.

Should you put research skills on your resume?

Yes, you should include research skills on your resume as they are an important professional skill. Where you include your research skills on your resume will depend on whether you have a lot of experience in research from a previous job or as part of getting your degree, or if you’ve just cultivated them on your own.

If your research skills are based on experience, you could put them down under the tasks you were expected to perform at the job in question. If not, then you should likely list it in your skills section.

University of the People – The Best Research Skills for Success

Association of Internet Research Specialists — What are Research Skills and Why Are They Important?

MasterClass — How to Improve Your Research Skills: 6 Research Tips

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Sky Ariella is a professional freelance writer, originally from New York. She has been featured on websites and online magazines covering topics in career, travel, and lifestyle. She received her BA in psychology from Hunter College.

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Research Skills: How to Find the Right Answers

Most jobs require some form of problem-solving. You might encounter an obstacle and come up with a question that you will need to answer to move forward. To answer this question, chances are you will need to have research skills to do some investigating. This kind of investigation is known as research.

What Is Research?

Research is the investigation of sources or facts to establish or draw conclusions. In an academic context, people often think of research in the sciences and the social sciences. But really, you will need to conduct some kind of research in any academic subject or while performing any job.

Find your bootcamp match

In fact, nearly every profession or job requires some amount of research and research skills. As long as you come across a question, which is a natural occurrence in almost everything, you should come across an opportunity to research. And when there is a call to research, strong research skills definitely come in handy.

What Are Research Skills?

Research skills mean that you are able to identify the answer to a question or a set of questions. Research questioning can lead to many different kinds of research. You might get started by using search engines to find reliable sources. You can evaluate information by scanning search results to embark on your research project. 

What Is the Purpose of Research?

Research can serve a few different purposes, depending on the kind of research you are doing. The three main kinds of research are exploratory, descriptive, and explanatory. 

Exploratory research seeks to explore a general question and possible answers without necessarily seeking one singular, specific answer. Descriptive research is often data-driven and seeks to describe research findings in great detail. Explanatory research is often more qualitative and does seek explanations to substantiate it and its findings. 

Below is a deep dive into the kinds of general research skills you will need to excel in any field, especially tech.

Different Kinds of Research Skills

Below are a few basic types of research skills that might help you get a better sense of what research is and why you need to master research skills.

Searching for Information

In its most basic sense, research is the search for information. This can take on many different forms. Though in 2020, we are all used to using Google as one of our primary research methods. 

Older generations remember having to go to the library any time they had a question about the way the world works or any time they needed to search for information.

Attention to Detail

By paying close attention to detail, you can conduct better research on a micro-level, noticing details and storing them away for future reference. During job training, an information session, or a webinar, for example, you can conduct research just by paying close attention to detail. This can also involve taking notes so you don’t end up forgetting all of this detail.

Time Management

You will likely never come across a question or a research question with absolutely no time limit. Research almost always requires time management skills to make sure you can get everything done on time. 

Depending on the kind of research you’re conducting, you may have to manage your time between one kind of research, interviews, for example, and another kind of research, such as online web searches. 

Problem-Solving

Research is all about problem-solving. Without problem-solving, research would just be looking for information. But research is about searching and then identifying information that provides a potential answer to a question or a solution to a problem. 

Communicating Results

Research results are useless if you don’t know what to do with them. Ideally, you will have the resources and ability to apply your research findings to your question or your problem. 

If you’re working on a team, you should be able to describe your research, your research methods, and your research results to your teammates. The goal is to get others on board by communicating your results. 

Online Research Skills

In a time when the Internet is overloaded with so much information, it’s hard to know what to trust. Though online research is by far the most accessible, it can also be the most difficult. 

Internet users using the web for research, including simple search engine searches, should understand how search engine results work and how to discern the reliable from the unreliable sources.

Below are a few tips for conducting discerning online research responsibly. 

Ask the Right Questions

Remember that all research starts with at least one question. The question you are asking absolutely makes a difference in the kind of research you will want to be conducting. It also makes a difference in how fruitful your online research might be. 

Ask the right question by considering how you are phrasing the question and what words and terms you are including in the question. To do this, try to be as specific as possible to get to the root of the question you are asking.

Check Your Sources

Always do some research on your source pages. Is the domain something you’ve never heard of? Does it look very outdated and low-budget? If the answer to these questions is yes, you might want to find more reliable sources. You will also need to evaluate the actual information you find from your sources, which might even require a bit of fact-checking.

Never Plagiarize, Always Interpet

Even if you find exactly what you’re looking for in an Internet search, you will need to interpret what you find. Never take anything for granted and always reinterpret information in your own words.

Conclusion: Start Your Research

Whatever your question, all you have to do to develop research skills is get started. Like with anything else in life, practice makes perfect. Good luck and check out our other Career Karma resources as you embark on your research projects.

About us: Career Karma is a platform designed to help job seekers find, research, and connect with job training programs to advance their careers. Learn about the CK publication .

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Research Scientist Skills

Learn about the skills that will be most essential for Research Scientists in 2024.

Getting Started as a Research Scientist

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What Skills Does a Research Scientist Need?

Find the important skills for any job.

Types of Skills for Research Scientists

Critical thinking and problem-solving, technical proficiency and specialization, data analysis and computational skills, communication and dissemination, project management and organization, top hard skills for research scientists.

Empowering discovery through robust data analysis, cutting-edge experimentation, and interdisciplinary expertise in today's dynamic scientific landscape.

• Statistical Analysis and Modeling
• Experimental Design and Execution
• Data Mining and Machine Learning
• Scientific Writing and Publishing
• Advanced Mathematics
• Laboratory Techniques and Instrumentation
• Computer Programming and Simulation
• Big Data Analytics
• Research Project Management
• Domain-Specific Knowledge (e.g., Genomics, Neuroscience, Materials Science)

Top Soft Skills for Research Scientists

Fostering innovation through critical thinking, collaboration, and resilience, while leading with emotional intelligence and meticulous organization.

• Critical Thinking and Problem Solving
• Effective Communication
• Collaboration and Teamwork
• Adaptability and Flexibility
• Creativity and Innovation
• Time Management and Organization
• Attention to Detail
• Resilience and Perseverance
• Emotional Intelligence
• Leadership and Mentoring

Most Important Research Scientist Skills in 2024

Interdisciplinary collaboration, advanced data analysis and interpretation, scientific communication and public engagement, grant writing and fundraising acumen, problem-solving and critical thinking, technical proficiency in emerging technologies, project management and organizational skills, adaptability to scientific paradigm shifts.

Show the Right Skills in Every Application

Research scientist skills by experience level, important skills for entry-level research scientists, important skills for mid-level research scientists, important skills for senior research scientists, most underrated skills for research scientists, 1. interdisciplinary knowledge, 2. intellectual curiosity, 3. resilience, how to demonstrate your skills as a research scientist in 2024, how you can upskill as a research scientist.

• Deepen Your Expertise with Specialized Courses: Enroll in advanced courses that focus on cutting-edge topics within your field to deepen your expertise and stay abreast of the latest scientific breakthroughs.
• Master Data Analysis and Statistical Software: Become proficient in the latest data analysis tools and software, such as R, Python, or specialized bioinformatics software, to enhance your research capabilities.
• Collaborate on Interdisciplinary Research Projects: Seek out opportunities to work with professionals from different scientific disciplines to broaden your perspective and foster innovation through cross-pollination of ideas.
• Participate in Scientific Conferences and Seminars: Attend and, if possible, present your research at national and international conferences to stay informed about recent developments and network with leading scientists.
• Contribute to Peer-Reviewed Journals: Writing and reviewing articles for reputable scientific journals will not only contribute to your field but also refine your critical thinking and writing skills.
• Engage with Research Funding and Grant Writing: Develop your skills in writing grant proposals to secure funding for your research, which is a critical component of a successful scientific career.
• Adopt Open Science Practices: Embrace open science by sharing your data and findings openly when possible, and using open-source resources to promote transparency and reproducibility in research.
• Develop Teaching and Mentoring Skills: Take on roles that involve teaching or mentoring to improve your communication skills and give back to the scientific community by helping to train the next generation of researchers.
• Stay Informed on Ethical Research Practices: Ensure that you are up-to-date with the ethical considerations and regulations in your field to conduct responsible and credible research.
• Invest in Soft Skills Development: Enhance your soft skills, such as teamwork, leadership, and problem-solving, which are invaluable in collaborative research environments and when leading projects or labs.

Skill FAQs for Research Scientists

What are the emerging skills for research scientists today, how can research scientists effectivley develop their soft skills, how important is technical expertise for research scientists.

Research Scientist Education

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Research skills: Examples + how to improve them

No matter what career path you choose to take, research skills are one of the key graduate career skills that will help you impress employers in applications and support you throughout your entire working life. 

Research skills are essential in problem-solving; learning how to improve research skills is therefore a great way to prepare for the workplace and improve your overall skill set in your early career. In this article, you’ll find out what research skills are, how to improve your research skills and much more. 

• What are research skills?
• Examples of research skills
• Jobs that require research skills
• How to improve research skills

How to use research skills at your workplace

How to include research skills in a cv, how to include research skills in a cover letter.

• How to demonstrate your research skills at a job interview

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What are research skills? 

Research skills refer to an individual’s ability to source information about a certain topic, and effectively extract and evaluate the information in order to answer questions or solve problems. 

Research skills are soft skills that are highly sought after by employers as they show a candidate’s ability to understand and analyse a variety of materials and sources. Whether you’re studying or already in the workplace, research skills are important transferable skills to have in any role or sector that you choose.

These skills can be constantly improved, and this is a great way to develop in your early career and prepare for the workplace. For example, your manager might ask you to conduct research or analysis for various projects, where these skills will be essential for your success. 

Learn how to develop your entire transferable skillset with this free online learning course. You'll also get a certificate once you complete the course that you can display on your CV and LinkedIn profile.

Examples of research skills 

During your time at school and university, you will have used a variety of research skills to complete projects and assignments. If you’re not sure what research skills look like in practice, here are some examples: 

Data collection 

Data collection is the process of systematically gathering information in order to solve problems, answer questions and better understand a particular topic. The information or data that you are collecting can be quantitative or qualitative; it can be collected through using surveys, interviews, reviewing existing materials and more to solve a particular problem.

At university, you would need to read broadly on a certain topic or conduct a literature review for a certain project. This is all data collection, and you can develop and use these experiences in your future role too. 

Critical thinking

Critical thinking is the ability to interpret and analyse information in order to form a particular judgement or evaluation. Someone who is a great critical thinker will be able to apply their knowledge (informed by evidence from, for example, data collection) to think rationally and come to a conclusion. Critical thinking is key in the workplace as it means you can analyse and evaluate strategically, to come to a judgement that will inform a particular action or idea.

Detail orientation 

Another key example of a research skill is detail orientation, or the ability to focus on small details. Someone who is detail-oriented will be able to notice small mistakes and will be able to deliver high-quality and accurate work. When solving problems, this is essential, as the ability to extract and evaluate information with accuracy is important for the validity of your research and will help drive high-quality results. 

Time management 

Time management is the ability to organise your time when planning different activities and projects. Effective time management means you’re able to balance your workload and ensure all tasks are completed within an allotted time. This is important for your research skills, as it means you are able to effectively delegate your time between data collection, analysis and evaluation.

Jobs that require research skills 

• External auditors have great attention to detail to investigate organisations. In an external auditor role, you will need to research policies and regulations, analyse data provided by the organisation and draw conclusions for a report.
• A strategist in the financial sector looks at an organisation’s finances to come up with plans for the future. You need great analytical and evaluative skills in order to understand the best options for your clients and turn a rational judgement into action. 
• A role in the Civil Service involves researching, developing and maintaining policy in the UK. Being able to inform your decisions with evidence, and manage your time effectively, is key. 
• In the role of a data scientist , you will need to conduct research to understand why a client or company needs a data scientist, and be able to analyse effectively to see big patterns in large amounts of data. 
• Clinical scientists must carefully analyse and process large amounts of data, requiring strong research skills and detail orientation.

Not quite sure about the type of career you should pursue? Take our Career Path Test and get matched with the career paths and sectors that meet your interests. 

How to improve research skills 

• Practise your time management and organisation skills: Whether you’re at university or in your early career, it’s important to start learning how to balance your time effectively to complete a number of tasks. For your next project, try setting out clear activities that need to be completed, how long you need to spend on each, and a timeline for when each task will be started and completed. 
• Learn how to write reports: In any research process or project, you will need to summarise and evaluate your findings in a written report in a clear and concise way. Make sure to include the objective of your research, a summary of your findings, and the judgements you have made from the evidence you found. 
• Read more widely: One of the core aspects of research and analysis is the ability to extract information from a variety of materials. Reading more widely will improve your data collection skills and will give you experience with forming judgements from a range of sources and on a number of topics.
• Plan . Before you start a project at work, make sure you’ve taken time to plan what tasks you need to do, and how long each will take, to understand the timelines of the project. This allows you to set aside dedicated time for the research phase, for example, before analysing data or putting ideas into action.
• Read about the topic . Whatever sector you’re in, and whatever project you’re working on, reading about your subject area is key to understanding your field ahead of any decisions being made. This will help you solve problems and answer any questions you need to be answered at the offset.
• Compare your results . Following any research or data collection, it’s a good idea to compare your findings with colleagues to ensure consistency across the team. This will lead to greater accuracy for the project as a whole.
• Present . Practising your presentation and communication skills is an essential part of developing your research skills. At the end of any research you’ve conducted, get into the habit of presenting your findings in a written report, and try presenting this to your line manager and wider team.

Once you’ve developed your research skills, it’s important that you know how to convey these effectively in applications – starting with your CV.

Read: How to write a CV | Advice & templates

Your CV is usually the first thing an employer sees of you, so you need to impress them from the offset. Highlighting your research skills, and how you’ve used them in your experience so far, is a great way to do this and will show your organisation, attention to detail and critical thinking.

Research skills should be included under the ‘skills and achievements section of your CV. This is where you include your technical and personal skills that relate to the role you’re applying for.

When talking about your research skills, remember to highlight how you’ve developed these in a concise way. For example, you might have developed research skills by writing a number of literature reviews at university. This might be phrased as “developed effective research skills through data collection and analysis when writing literature reviews for university projects.”

Another way to convey your research skills on your application and impress employers is through the cover letter. If an employer asks for one, it’s important to know how to structure a cover letter so that you can convey your skillset and interest in the role clearly and succinctly.

Your cover letter needs to be no more than one page and should highlight your competency for the role you’re applying for. Approach your application from the basis of ‘what I can do for you’ rather than ‘what you can do for me’. As research skills are transferable, this is a great chance to highlight how you can benefit the organisation and team you’re applying for, as it shows your ability to collect data, think critically, organise your time, analyse and more. Remember to apply these soft and transferable skills to what the job description says will be expected of you.

How to demonstrate your research skills at a job interview 

Interviews are another opportunity to impress employers with your skill set - including how you have developed strong research skills which you can use in the role you’re applying to. 

Ahead of your interview, you should be using your research skills to look into the company you’ve applied for. Get familiar with what they do, their company values and what they’re looking for in a candidate for your chosen role. 

You can also get prepared by practising to answer potential research skills questions like “give me an example of a time when you solved a problem using your research skills.” To answer this, make sure you’re identifying the specific research skills you have used, and explain a real example of when you have solved problems using them. Think about the impact using those research skills had in order to highlight how you have developed these skills effectively in practice. 

Research skills are essential for success in many different roles and fields. By learning how to improve your research skills, you are setting yourself up to impress employers at application and become an asset to a team when you enter the workplace. 

Research skills are soft skills that employers value, are essential for developing your problem-solving skills and are one of the key graduate career skills that recruiters look for. By adding ‘research skills’ to your CV, and highlighting your research capabilities at interviews, you are increasing your employability and chances for success.

Browse thousands of available graduate jobs, schemes and more and demonstrate to employers that you're able to use your research skills to succeed at interview and in your early career. 

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The Work at Home Wife

Helping you work at home and make money online

11 Awesome Online Research Jobs: Get Paid For Being A Know-It-All

March 13, 2019

Online Research Jobs

One form of being a know-it-all is a Serial Researcher. If you’ve always enjoyed learning everything you could – whether by reading an entire encyclopedia or reading a bunch of nonfiction articles on any subject that interests you – you can make your endless curiosity work for you by turning it into a job! Countless industries and jobs depend on research, much of which can be done online: put your skills to work as an industry researcher, expert, or consultant.

Some online research jobs from home are entry-level and require no previous experience in research; however, some better-paying opportunities that are industry-specific may need either formal education or at least formal experience to land. For example, a court researcher should have some background in legal work – or an expert in nutrition might need to demonstrate an education in nutrition or a related subject.

10EQS hires Subject Matter Experts in specific industries, technologies, or functions – to qualify for this position, you should have extensive practical experience with your particular subject. You’ll join their database of prospective experts and have the opportunity to get assigned to live research projects with their clients. You may also have the option to complete these projects over the phone or in person.

IT-Boss Research works with independent contractors (such as yourself!) to complete court research for their clients. This does involve going to local courthouses to find the data required by IT-Boss Research’s clients, but you still have the flexibility to do so on your schedule (within limits imposed by the courthouse’s open hours). They say the average researcher can earn between $10 and $15 hourly, while more experienced court research can pull $25.

Answering Questions  

Of course, maybe it’s not the thrill of internet research that drives you – maybe you just love having the answer to every question! If that’s the case, that know-it-all drive can create an income for you as well. There are several companies online today that sell just such a question-answering service to their clients – whether their questions are complex (companies needing to know if an idea has been done before) or simpler (a student needing help with their homework assignments).

In these cases, it does pay to have a particular area of expertise – but you can still find work even if most of your know-it-all vibe is based on being a skilled practitioner of Google-fu.

Wonder is one of the most popular companies to answer questions for – you’ll see them mentioned quite often. They invite their clients to submit questions, and then their researchers spend a little time finding at least five quality sources that answer that question. Then synthesizing that information into an answer for their clients. You must pass a quiz and complete a sample assignment to work with them.

Rachael Granby, the Director of Research, was kind enough to stop by and answer a few questions about the work-at-home job. Wonder is a marketplace where each research question is priced differently, depending on a variety of factors including how quickly the client needs the research back and how challenging the research question is. Each researcher sets his or her own schedule, chooses which requests to work on and chooses which price points to accept. That’s a long way of saying that each researcher’s earning potential varies based on how much time s/he wants to spend researching each week and which types of requests s/he accepts. Top researchers can earn as much as $35+ per hour, and make up to $2K per month. In addition to the payment, researchers also get the opportunity to work on interesting new projects every day, to learn about new fields, to network with peers all across the world, and to build up a portfolio of research. The two most important criteria are: excellent writing skills and a love of learning. Creative problem solving helps too, as sometimes clients ask for information that isn’t immediately available and then we need to come up with a creative way to guesstimate the answer. For example, a client might ask “How many songs are currently listed on the SoundCloud website?” SoundCloud hasn’t released this data, but there was an article from 6 months ago which had the number of SoundCloud songs at the time, and a separate article which highlighted the rate at which new songs were being added, so it was possible to guesstimate how many songs there are today by using the number of songs six months ago and the projected growth rate over the last six months. Researchers set their own schedules – they can work as often as they want, and as much as they want. A researcher will typically log onto our dashboard to see which requests are available, and then choose a specific request to start working on. Researchers also use Slack, a chat service, to talk to each other about what they’re working on, to ask questions and to share tips. We recommend that researchers answer a minimum of 1 request per week, to keep their skills sharp, and experienced researchers typically answer 5+ requests each week. However, there is no minimum requirement. Researchers are paid via PayPal, every two weeks. In addition to doing research, there are also earning opportunities for researchers who want to review the work completed by others. This involves reading through someone else’s completed research to make sure it fully answered the client’s question, that it’s clear and well-presented, and that it follows Wonder’s formatting guidelines. We pay reviewers $1 for each review they complete. What tips do you have for those wanting to become a Wonder Researcher? a) Read the instructions on the application! I know that seems like a silly one, but it’s amazing how many potentially strong candidates submit applications that make it clear they didn’t read the instructions. For example, we ask applicants to complete one piece of mock research and we include instructions for how to use the right formatting. If you’re interested in joining the Wonder Research Network, use the right formatting! b) There’s definitely a learning curve, so we provide a resource center for all researchers with information about how to tackle different kinds of requests, and we have a community support system where researchers regularly ask each other for advice on specific requests. But the biggest asset a researcher can bring in here is a good attitude – if your English writing is strong, and you’re willing to learn, and you’d like to be part of a collaborative environment with interesting fellow researchers from all over the world, then this is the right role for you.

StudyPool works with independent tutors to help students with their homework assignments – while working with them, you can browse questions in over 30 subjects and offer to help. The company acts somewhat as a facilitator since you get to set your own rates. You also set your schedule; payment is made when you’ve finished helping a given student.

Experts 123 provides a place for you to answer questions by writing articles that show off your expertise, although the pay is not always guaranteed. When writing their base level articles, what you make depends on how much traffic your article receives. You can graduate to higher levels of engagement that offer some guaranteed pay if your articles are amazing.

The answering-questions gig can also be good as a side hustle, with plenty of apps and sites offering cash or prizes in exchange for your answers regarding various companies and services (or even providing some mild technical assistance). Check out companies like Help Owl , FixYa , Weegy , etc .

Ask an Expert

If you’re an all-around expert on a given subject, you can earn an income by offering your services on an Ask an Expert platform. Requirements for these types of sites vary, but some may ask you to prove your expertise via a degree or proof of training. The amount of income you can expect to make in this role varies as well – from how in-demand your subject is to how many people you help. On the plus side, you can entirely set your schedule, and you can even arrange to take calls on the go.

Just Answer – Sign up to offer expert answers via JustAnswer, prove your credentials, and set your hours to get started! Any time a client has a question for your specialty – and you’ve marked yourself as available – you can speak with the client to provide answers. You’ll split the fee with Just Answer.

Maven refers to their experts as microconsulants and offers quick sign-up: just set your hourly rate and answer a few questions. Their system matches you up with their clients’ needs – you may answer questions via writing, talk on the phone, or participate in a project. You can also earn a commission from referrals.

Presto Experts connects you with their clients via chat, phone, or email (you can decide which) to answer questions in your areas of expertise – or perhaps even to provide tutoring. After registering, you’ll create your profile listing your credentials (education, qualifications, etc .) – potential clients can find you when you’re online when they search various categories. Set your own fees!

Clarity allows you to put your expertise to work answering questions for clients through one-on-one phone calls. They mainly deal with freelancers, executives, and entrepreneurs. They pay every two weeks, and you’re able to set your fees and availability through their platform. They take a cut of 15% for facilitating.

I hope I’ve shared a few things with you today you didn’t already know! Now get out there and find your perfect research job from home and answer questions to your heart’s content. I’d also love to hear about your experience with any of these companies – so drop me a note when and if you’ve worked with them!

Related at-home job ideas for a smartypants worker:

• Online Librarian Jobs: Opportunities You Won’t Want to Miss
• Everything You Need to Know About At-Home Paralegal Jobs

About Angie Nelson

Angie Nelson began working from home in 2007 when she figured out how to take her future into her own hands and escape the corporate cubicle farm. Angie’s goal is sharing her passion for home business, personal finance, telecommuting, and entrepreneurship, and her work has been featured on Recruiter, FlexJobs and Business News Daily.

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10 Research Skills and How To Develop Them

• Updated December 25, 2023
• Published August 8, 2023

Are you looking to learn more about Research skills? In this article, we discuss Research skills in more detail and give you tips about how you can develop and improve them.

What are Research skills?

Research skills refer to the ability to effectively and efficiently gather, analyze, and synthesize information to answer questions, solve problems, or contribute to a body of knowledge. These skills are essential for various fields and disciplines, ranging from academic and scientific research to business, journalism, and beyond. Effective research skills involve several key components:

Information Retrieval

Source evaluation.

• Critical Thinking

Data Analysis

Problem formulation, organization and note-taking, synthesis and writing, ethical considerations, time management.

• Adaptability

Top 10 Research Skills

Below we discuss the top 10 Research skills. Each skill is discussed in more detail, and we will also give you tips on improving them.

Information Retrieval is all about mastering the art of finding relevant and credible sources of information to support your research goals. This skill involves using various online and offline tools to locate the data, articles, studies, and materials that are most pertinent to your research topic. It’s like being a detective for knowledge – you’re trying to uncover valuable insights that will contribute to your research project.

To excel in Information Retrieval, you must become adept at effectively using search engines, databases, libraries, and other resources. It’s not just about typing keywords into a search bar; it’s about understanding how to refine your searches, use advanced search operators, and explore different databases and sources.

You’ll need to evaluate the quality and reliability of sources to ensure that the information you gather is trustworthy and accurate. This skill also requires critical thinking, as you’ll need to assess the relevance of sources to your research objectives.

How to Improve Information Retrieval

Improving your Information Retrieval skills involves a combination of practice, strategy, and awareness. Start by familiarizing yourself with different research databases and libraries relevant to your field. Experiment with various search terms and use advanced search operators to narrow down results. Take the time to evaluate the credibility of sources – look for peer-reviewed articles, authoritative authors, and reliable institutions. Keep track of your searches and results to refine your strategies over time.

Stay updated with the latest developments in search technology and research databases to optimize your information retrieval process. Remember, the more you practice and fine-tune your approach, the better you’ll become at uncovering valuable gems of information for your research endeavors.

Source Evaluation is about becoming a discerning judge of the information you encounter during your research journey. It involves assessing the credibility, reliability, and relevance of the sources you come across, ensuring that you’re building your work on a foundation of trustworthy and accurate information. Think of yourself as a gatekeeper, using only the most reliable and relevant sources to support your research.

You need to develop a critical eye to enhance your Source Evaluation skills. Begin by examining the authorship – who wrote the source, and what are their credentials? Peer-reviewed articles from established researchers are more reliable than anonymous blog posts. Consider the publication source – is it a reputable journal or website in your field?

Next, look for citations and references within the source – a well-researched work will often cite other credible sources. Additionally, evaluate the publication date – while older sources can provide historical context, ensure you’re using recent information for up-to-date insights.

How to Improve Source Evaluation

Improving your Source Evaluation skills requires a combination of awareness and practice. As you encounter new sources, ask questions about their credibility and relevance. Do evidence and references support the information? Does the author have any potential biases? Take advantage of critical thinking to analyze the source’s overall quality.

To further refine your skills, seek guidance from mentors, professors, or librarians who can provide valuable insights into evaluating sources. The more you engage with this skill, the better you’ll become at building a solid foundation for your research with credible and reliable materials.

Critical Thinking is the intellectual toolset that empowers you to analyze information objectively, discern patterns, and draw well-informed conclusions based on evidence. It’s like being a detective for ideas – you sift through data, identify biases, and unravel complexities to make informed judgments that drive your research forward with clarity and precision.

To hone your Critical Thinking skills, you need to cultivate a curious and analytical mindset. Start by questioning assumptions and biases in both your own thinking and the information you encounter.

When evaluating sources, consider multiple viewpoints and sources of evidence before forming conclusions. Develop the ability to identify logical fallacies or weak arguments that may distort the validity of your findings. Embrace open-mindedness and be willing to adapt your ideas when faced with compelling evidence that challenges your initial perspective.

How to Improve Critical Thinking

Improving your Critical Thinking skills requires practice and deliberate effort. Engage in discussions and debates within your field and beyond to expose yourself to diverse perspectives and sharpen your ability to analyze complex issues. Regularly challenge yourself to critically evaluate information, whether it’s a news article, a research paper, or a colleague’s argument.

Seek feedback from mentors or peers to refine your critical thinking process and identify areas for improvement. Remember, Critical Thinking is an ongoing journey that can be developed over time – the more you engage with it, the more adept you’ll become at navigating the intricate landscape of ideas in your research endeavors.

Related :  Critical Thinking Interview Questions & Answers

Data Analysis is the art of processing, interpreting, and extracting meaningful insights from the raw information you’ve collected during your research journey. Think of it as deciphering a puzzle – you’re transforming numbers, observations, or qualitative data into a coherent narrative that answers your research questions and adds value to your work.

To excel in Data Analysis, you need to develop both quantitative and qualitative skills. For quantitative data, embrace statistical tools and techniques that help you identify trends, correlations, and patterns in your data sets. Practice using software like Excel, SPSS, or specialized tools for your field to perform statistical tests and visualize results effectively. For qualitative data, immerse yourself in the details, coding and categorizing themes to distill rich insights from textual or visual sources.

How to Improve Data Analysis

Improving your Data Analysis skills involves a combination of practice, learning, and refining your techniques. Start by immersing yourself in the basics of statistics and data analysis methodologies relevant to your research field. Engage in tutorials and online courses to familiarize yourself with various tools and software. As you analyze data, maintain clear documentation of your process and decisions, which will be crucial when presenting your findings.

Collaborate with peers or mentors who are experienced in data analysis to gain insights and feedback on your techniques. Remember, Data Analysis is about transforming data into knowledge – the more you engage with this skill, the better you’ll become at uncovering valuable insights that contribute to the depth and impact of your research.

Related :  Research Interview Questions & Answers

Problem Formulation is like setting the compass for your research journey – it involves defining clear and focused research questions or hypotheses that guide your entire investigation. Consider it the foundation of your work, as it shapes your approach, methods, and the ultimate impact of your research.

To master Problem Formulation, you need to become skilled in asking the right questions. Begin by thoroughly understanding the topic you’re exploring. What gaps or uncertainties do you notice in the existing knowledge? What specific aspect of the topic piques your interest? Craft research questions that are specific, measurable, achievable, relevant, and time-bound (SMART).

If you’re developing hypotheses, ensure they are testable and grounded in existing theories or observations. Your skills in Problem Formulation also extend to identifying the scope and boundaries of your research – understanding what you’re including and excluding from your study.

How to Improve Problem Formulation

Improving your Problem Formulation skills requires practice and iterative refinement. Start by conducting a comprehensive literature review to understand the existing research landscape in your area. This will help you identify potential gaps and formulate questions that build upon existing knowledge.

Discuss with peers, mentors, or experts in your field to gain different perspectives and insights into potential research problems. As you develop your skills, be open to revising and refining your research questions based on new information or insights. Remember, Problem Formulation is the compass that guides your research journey – the more you invest in crafting clear and well-defined questions, the more impactful and focused your research will be.

Related :  10 Fact Finding Skills and How to Develop Them

Imagine these skills as your research toolkit for maintaining order amidst the vast sea of information you encounter. Organization involves structuring and managing your research materials, while Note-Taking ensures you capture valuable insights and details for future reference. Together, they help you stay on track and prevent valuable information from slipping through the cracks.

To excel in Organization and Note-Taking, you need to develop strategies that work best for you. Start by creating a systematic folder structure on your computer to store digital documents, articles, and data sets. For physical materials, consider using labeled folders or binders. As you gather information, employ tools like reference management software to keep track of your sources and generate citations efficiently.

Simultaneously, practice effective Note-Taking during your readings and research. Jot down key points, ideas, and relevant quotes in a structured format, whether you’re using a physical notebook or a digital note-taking app.

How to Improve Organization and Note-Taking

Improving your Organization and Note-Taking skills requires a mix of discipline and adaptability. Establish consistent routines for organizing research materials, updating folders, and managing citations. Regularly review and reorganize your notes to keep them relevant and accessible. Experiment with different note-taking techniques, such as outlining, summarizing, or mind mapping, to find the approach that aligns with your learning style.

Remember, Organization and Note-Taking are your allies in navigating the sea of information – the more you refine these skills, the smoother your research journey will become and the more confident you’ll be in tackling complex topics.

Synthesis and Writing are your means of weaving together the threads of information and insights you’ve collected into a coherent and impactful narrative. Think of it as crafting a masterpiece from the puzzle pieces of your research – you’re presenting your findings, analysis, and conclusions in a way that informs and engages your audience.

To excel in Synthesis and Writing, you must become a data and idea storyteller. Begin by outlining your research paper or report. Organize your findings logically, building a structured framework that guides your reader through your research journey. Ensure each section flows smoothly, connecting the dots between concepts and evidence. While writing, focus on clarity and conciseness – avoid jargon and convoluted language that may confuse your readers. Use effective transitions to guide them from one point to the next.

How to Improve Synthesis and Writing

Improving your Synthesis and Writing skills requires both practice and revision. Start by breaking down the writing process into manageable steps – drafting, revising, and editing. Give yourself time between drafting and revising to approach your work with fresh eyes. Critically evaluate your writing for clarity, coherence, and accuracy during revision.

Consider seeking feedback from peers, mentors, or writing centers to gain insights into improving your writing style. Study well-written papers in your field to observe how experienced researchers present their ideas effectively. Remember, Synthesis and Writing are your tools for communicating your research’s impact – the more you refine these skills, the more effectively you’ll share your discoveries and contribute to the body of knowledge in your field.

Ethical Considerations encompass the principles and guidelines that ensure your research is conducted with integrity, respect for participants’ rights, and a commitment to transparency. Think of it as the moral compass that guides your research journey, ensuring that your work upholds ethical standards and contributes positively to society.

To excel in Ethical Considerations, you need to become a guardian of ethical integrity in your research. Begin by understanding the ethical guidelines and regulations specific to your field and your research type. This involves respecting participants’ autonomy by obtaining informed consent, protecting their privacy and confidentiality, and ensuring they’re treated with dignity. Additionally, uphold intellectual honesty by properly attributing sources, avoiding plagiarism, and disclosing any potential conflicts of interest.

How to Improve Ethical Considerations

Improving your Ethical Considerations skills involves a combination of awareness and vigilance. Regularly educate yourself on the ethical codes and regulations relevant to your field and research methods. When designing your research, carefully plan how you will address ethical concerns and potential risks.

As you conduct your research, stay attuned to any ethical dilemmas that may arise and be prepared to address them appropriately. Remember, Ethical Considerations are at the heart of responsible research – the more you cultivate these skills, the more your work will contribute positively to both your field and society as a whole.

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Time Management involves the art of effectively allocating your time to different research tasks, ensuring that you meet deadlines, stay on track, and maintain a balanced workflow. Think of it as your compass for navigating the often-intricate landscape of research – it helps you stay organized, productive, and in control of your research journey.

To excel in Time Management, you need to become a master of planning and prioritization. Start by breaking down your research project into manageable tasks and setting realistic goals for each stage. Create a schedule that allocates research, data collection, analysis, writing, and revision time. Be mindful of your energy levels – tackle complex tasks during your most productive hours. Embrace tools like to-do lists, calendars, and time-tracking apps to keep yourself accountable and stay aware of your progress.

How to Improve Time Management

Improving your Time Management skills requires consistent practice and self-awareness. Continuously assess your progress against your planned schedule, adjusting as needed to accommodate unexpected challenges or new insights. Develop the skill of saying no to distractions and non-essential tasks that can derail your focus.

Break larger tasks into smaller, more manageable chunks to prevent feeling overwhelmed. Regularly reflect on your time allocation and efficiency – what strategies are working well, and where can you improve? Remember, Time Management is a skill that can significantly impact your research journey – the more you refine it, the more you’ll find yourself navigating your work with greater ease and achieving your research goals with greater success.

Related :  10 Coordinating Skills and How to Develop Them

Adaptability is the ability to flex and evolve in response to changing circumstances, unexpected findings, and new information that arise during your research journey. Think of it as your compass for navigating the dynamic and ever-changing landscape of research – it empowers you to embrace uncertainty and adjust your course to ensure the best outcomes for your work.

To excel in Adaptability, you need to cultivate a mindset that embraces change and seeks opportunities within challenges. Start by acknowledging that research is often full of surprises and plans might need to shift. Develop a sense of resilience by staying open to revising your research questions, altering methodologies, or exploring unanticipated angles.

Being adaptable also means being resourceful – finding alternative approaches when things don’t go as planned. Embrace feedback from peers, mentors, or unexpected results, and be ready to integrate this feedback to improve the quality of your research.

How to Improve Adaptability

Improving your Adaptability skills involves practicing flexibility and embracing a growth mindset. Regularly reassess your research plan and objectives in light of new information or developments. Embrace failures and setbacks as opportunities for learning and growth rather than roadblocks. Seek out interdisciplinary perspectives and engage with new ideas that challenge your assumptions.

As you navigate through unexpected turns, continuously reflect on what you’ve learned and how you’ve adapted, so you can refine your approach in the future. Remember, Adaptability is the key to thriving in the dynamic landscape of research – the more you foster this skill, the better equipped you’ll be to tackle unforeseen challenges and emerge stronger from your research journey.

Related :  Research Intern Cover Letter Examples & Writing Guide

Research Skills Conclusion

In the pursuit of knowledge and discovery, honing research skills is the linchpin that sets the stage for success. Throughout this exploration of various research skills and how to nurture them, one thing becomes evident: deliberate practice and continuous improvement are the bedrock of growth. Developing research skills is not merely a checkbox to mark; it’s a journey that empowers you to excel in your field, make meaningful contributions, and amplify the impact of your work.

Improving these skills isn’t just an option – it’s a necessity in today’s job market. The ability to gather information effectively, critically evaluate sources, analyze data, formulate problems, synthesize findings, and more, transforms the research process from a mere task into a dynamic and transformative experience. These skills serve as the pillars that uphold the credibility and validity of your work, ensuring that your contributions stand the test of scrutiny and time.

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• 10 Technical Engineer Skills and How to Develop Them

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The Best Research Skills for a Resume

If you want to apply for a research position, you need to provide evidence of research skills on your resume. In this article, we explore what the best research skills for a resume are, why they are important and how to list them properly. We also provide a researcher resume sample to get you started – you can use it as inspiration or a template.

Table of Contents

What Are Research Skills?

A career like research is an excellent option for anyone who can collect, analyze and interpret data, solve complex problems, dive deep into discovery, and offer innovative solutions. The best thing about being a researcher is that you can not only succeed in science and academia but also climb up the career ladder in the corporate world. Indeed, having solid research skills opens the door to many roles and industries, including academic environments, government settings, transnational corporations, startups, tech giants, and non-profit organizations, to name but a few.

From human behavior to regional studies to biotech, there are myriads of research spheres where a qualified individual can make a difference. Researchers utilize their skills to explore a variety of topics, and if you have your mind set on pursuing a career as a researcher, you need to understand what skill set is pivotal for success in this field.

In a nutshell, research skills are all about searching ways to resolve problems. They are knowledge, abilities and competencies that ensure you can investigate particular topics, perform critical analysis, extract and organize data, interpret results, form hypotheses, and derive data-driven conclusions.

As a researcher, you are expected to be capable of relaying your findings to other people in a compelling and digestible form and even inspire action, both in yourself and in others.

Whether you are a seasoned researcher or a novice in this field, you need to put the right skills on your resume . Below you will find a list of the most in-demand research skills in today’s job market.

The Top 10 Research Skills for a Resume

Communication.

Communication is a crucial aspect of a research career since you are required to share information, relay findings and spread knowledge efficiently and effectively, both orally and in writing . While communication skills certainly have a place on your resume , that doesn’t mean adding “Communication” to your list of skills is enough to move on. You need to provide relevant examples verifying that you can research things as part of a team and work towards a common goal. You could add something like this to add credibility to your claim:

Recruited 7 research assistants for clinical studies by visiting clinics and sending out email invites, increasing participation by 20%.

Explained 100+ research procedures to a group of study participants in 10 days, resulting in a 0% incident rate.

Problem Solving

Being an advanced problem solver means you can consistently identify issues and find effective and efficient solutions to them . It is an extremely valuable skill when it comes to research-based activities, and 86% of employers look for workers who are capable of solving problems in the workplace according to the National Association of Colleges and Employers’ Job Outlook 2022 survey. If you want to add problem-solving skills to your resume, you need to underpin them with relevant accomplishments. For instance, you could add examples like these:

Resolved course accessibility issues by creating interactive presentations for remote learners, increasing student satisfaction by 89%.

Developed and introduced a new computing environment for analysis, identifying 100% of failure patterns and improving issue detection by 75%.

Analytical Skills

Having analytical skills means you can parse data into digestible pieces, interpret them correctly and make data-based connections and conclusions . Data analysis incorporates a vast set of competencies, including technical skills like proficiency in programming languages, such as Python and R, familiarity with data visualization tools, like Tableau and Power BI, and a strong grasp of statistical analysis methods, such as hypothesis testing, regression analysis, and sample size determination. Armed with these skills, a researcher can take data to the next level and drive both innovation and profitability.

Being able to make sense of facts and figures both manually and using automated solutions will help you thrive in most roles, so recruiters would love to know that you are an analytical thinker when considering your candidacy. Your best bet here is to make sure they can find this out by examining your resume. You can add examples like the ones below to prove you can tackle complicated issues using your analytical skill set:

Collected, cleaned and analyzed first-party data from 10+ departments to identify the socio-economic impact of the COVID-19 pandemic on the company.

Performed regression analysis to determine the effects of a company-wide minimum wage increase, concluding that the hiring process was accelerated by 25% due to the wage change in question.

Qualitative Analysis

Qualitative analysis allows you to analyze a research subject using non-numerical and non-quantifiable parameters, characteristics and indicators and is based on abstract concepts . For instance, you can use qualitative attributes like human behavior or brand reputation to make business decisions or recognize investment opportunities. This skill is in demand today as it helps researchers use their observations to make conclusions, identify patterns and tackle challenges. Since you cannot quantify this area of your expertise, you need to provide relevant context to convince the reader that you are capable of analyzing non-tangible aspects of a subject. You can do that by using appropriate examples, like the following ones:

Evaluated the quality and accuracy of 200+ data sources in a month.

Performed quality control of high-volume content in a rapidly changing environment, maintaining a quality score of 99.9%.

Quantitative Analysis

Quantitative analysis is an approach that allows you to collect, study, measure, and analyze data . From statistical research to financial modeling, quantitative analysis includes a powerful toolkit that helps a researcher refine and simplify vast amounts of raw data to make better decisions and forecast trends.

Quantitative analysis has countless applications: with it, you can track metrics, measure variables and evaluate parameters in multiple fields, from finance and accounting to molecular biology and astrophysics. Therefore, it is no wonder that it is one of the most important research skills for a resume and highlighting it the right way is likely to help you move forward in the job searching process. You can prove that you know how to work with tangible data by providing relevant examples, like the following ones:

Designed a new data analysis technique, saving 30 monthly hours in parameter comparisons.

Used SQL to analyze customer data and identify areas for improvement related to customer conversions, resulting in a conversion boost by 75%.

Academic Writing

Academic writing is the ability to create complex documents containing scientific data, such as formulas, graphs, and charts . Academic writing skills help researchers prepare reports, presentations and articles for scientific journals and magazines, and if you have them, it means you know how to present technical information clearly and concisely. Recruiters from scientific fields are especially interested in candidates capable of writing academically, so submitting a resume with examples of written work is likely to help you secure a position as a researcher. Listing your publications to prove your expertise is the best option here, but since you might not have enough space to add all your papers, books and articles, you could highlight your academic writing proficiency with something like this:

Created 350+ articles on the principles of academic research for the university’s database, increasing student satisfaction by 60%.

Published 30+ papers focused on structural changes in protein conformations.

We know that expressing your writing potential in limited words can be difficult, so here getting assistance from a summarizing tool can be a good idea.

Literature Review

Literature review is a methodology that implies conducting rigorous research on a particular topic . Having literature review skills means you can explore your subject area in greater depth using sources like books, journal articles, industry magazines, etc. Such competencies allow you to build upon existing knowledge and generate new ideas, accelerating your research and pushing it to its full potential. Naturally, your literature review skills are a valuable asset to your resume. We recommend you to illuminate them with appropriate examples, focusing on tangible outcomes:

Gathered and reviewed 10+ articles on Stata to extract variables from a dataset.

Performed 100+ literature reviews to implement changes in clinical practice, boosting quality of care by 70%.

Time Management

Time management is a powerful soft skill that is especially valuable in research environments. It allows you to manage your time effectively, break large tasks into manageable chunks and prioritize them properly, set up measurable, attainable, and time-bound goals, and even juggle your responsibilities . Proper time management helps you stay focused on your work, boosts your productivity and thereby leads to consistently high results and impressive outcomes. From carrying out experiments to writing reports to teaching, as a researcher, you need to apply time management strategies on a daily basis to successfully accomplish your tasks. You can show you are good at time management on your resume by showcasing your successes, like in the examples below:

Developed a database for organizing behavioral data for 100+ study participants, decreasing data processing time by 30%.

Implemented data analysis techniques in Python, increasing the amount of data analyzed per hour by 17% and accelerating project completion by 40%.

Attention to Detail

Paying attention to detail is a vital aspect of being a researcher. Having this skill helps you gather credible information, perceive meaningful connections, notice discrepancies, and deliver high-quality work based on correct evidence. Since each and every aspect of a career in research requires efficiency and trustworthiness, attention to detail is something you cannot go without – otherwise, your progress will come to a screeching halt. Naturally, you need to illuminate this skill on your resume as recruiters seek candidates who can look at details with a critical eye and minimize distractions. And the best way to do that is by providing a relevant example of success. You can use the ones below for reference:

Checked 10 + data sheets for completion and quality per day, resulting in a <1% error rate.

Supervised the maintenance and updates of the lab’s database with a 99% accuracy rate.

Editing & Proofreading

Editing and proofreading skills are essential to perform successful research since they ensure it is both accurate and easy to read . While editing is more about making your text more digestible and improving the overall quality of your writing, proofreading corrects surface issues like errors in spelling, punctuation and grammar. Both require you to have a solid command of the language you use and a certain degree of focus. The devil is indeed in the details, so you need to always polish your texts before submitting them. Only this way will they be perceived by your peers and superiors as constructive and professional. And to prove you are good at editing and proofreading, you need to add appropriate examples to your resume. Here is how you can demonstrate your ability to provide high-quality texts:

Edited 11 federal grant proposals designed by my team, which generated $200+ in lab funding.

Edited a research paper co-authored with 2 postdoctoral employees regarding protein generation, which received the Best Paper Award in 2020.

How to List Research Skills on a Resume

Your resume is the best place to highlight your research experience and the value you could bring to your next role. The key here is to put your research skills in the right section so that they get noticed by the reader. You have no fewer than 7 options here:

• A dedicated research section
• Your work experience section
• The education section
• The list of your research publications
• The projects section
• The skills section
• Your resume summary

If you have a solid research background, you may want to create a separate section on your resume and call it Research or Research Experience . This place will help you expand on your projects and their details, specify the nature of your research, and describe the specifics of your previous roles, providing relevant examples and demonstrating the most prominent accomplishments.

If your career is all things research, the work/professional experience section can incorporate your research skills and accomplishments. List your employers and your duties, along with the dates of your employment, like you would do when describing your non-research work experience.

Your education section is an appropriate place to highlight your research skills if you are a student or a recent graduate. You can put it at the top of your resume if you want to draw more attention to your research background when applying for your first job in science or academia.

If you have a whole host of published works, it could be a great idea to create a separate section for listing your publications . This will help you add credibility to your research skills and accomplishments. Research-related accomplishments can also be highlighted as projects on your resume. This might be appropriate if your research background is not so extensive or not quite relevant to your current career aspirations.

You can list your research skills in your skills section as long as they are tangible and relevant for the job you want to land. We recommend you to avoid general skills here and focus on industry-specific expertise, illuminating it with the keywords you can find in the corresponding job listing and relevant skill levels .

Highlighting your research skills in the summary section is appropriate if you are applying for a role where a robust research background is essential. Your resume summary is just a few lines appearing at the top of the document, so make sure to add only the most important research skills there – those that you want the reader to see first and foremost.

Why Are Research Skills Important?

Research-oriented positions and most jobs in academia require you to have a solid set of research skills. Employees outside these roles can also benefit from research experience – research skills are transferable , meaning you can bring them to the table no matter your position, career field or job level. Therefore, they are a valuable addition to a resume in many cases.

Businesses and organizations are eager to employ candidates with proven research skills because they can

• come up with original plans and ideas,
• design innovative products and services,
• improve processes,
• keep up with technology,
• identify customers’ needs and requirements and find ways to meet them,
• resolve complicated issues,
• analyze competitors’ strengths and weaknesses,

By adding research skills to your resume, you show recruiters that you can think outside the box, know how to work with data and technology, are capable of making well-informed decisions, and are good at solving problems. This makes you a valuable hire in today’s skill-based job market

A Resume Sample to Apply for a Research Position

JOHN/JANE DOE Research Assistant Location ⋅ Email ⋅ Phone number Diligent and hardworking clinical researcher seeking a position at [Name of Company] to apply academic expertise and facilitate biological research. PROFESSIONAL EXPERIENCE Company/Organization, Location Dates of Employment Research Assistant Assisted scientists in 30+ research projects related to therapeutics for COVID-19 Conducted data-driven testing with an accuracy rate of 98% Supervised a team of 3 junior research assistants with daily laboratory duties Company/Organization, Location Dates of Employment Graduate Research Assistant Participated in cell research projects as part of a cross-departmental team of 30 researchers. Performed cell counts with 99% accuracy Was engaged in developing a platform to investigate immune responses to virus-infected hepatocytes. … Company/Organization, Location Dates of Employment Research Student Assistant Gathered and analyzed data and evidence for 10+ clinical research cases monthly. Awarded “Research Impact Award” in recognition of consistent research excellence (only 1 student is awarded in a class of 100). … EDUCATION NAME OF UNIVERSITY Location Degree, Major Dates of Education SKILLS Molecular cloning RNA isolation Cell counting Knowledge of SQL code and queries Data analysis Literature review

A career in research is an extremely exciting yet quite a demanding path. Since the competition for positions in the field is very fierce, as a researcher, you need to have high levels of determination and persistence and a powerful combination of skills. The research skills we have outlined in this article are what recruiters expect to see on your resume, so make sure to expand on them to get the job of your dream, rise to the top of your game and deliver ground-breaking research.

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Tips for Online Students , Tips for Students

The Best Research Skills For Success

Updated: December 8, 2023

Published: January 5, 2020

Every student is required to conduct research in their academic careers at one point or another. A good research paper not only requires a great deal of time, but it also requires complex skills. Research skills include the ability to organize, evaluate, locate, and extract relevant information.

Let’s learn how to develop great research skills for academic success.

What is Research?

We’ve all surely heard the term “research” endlessly. But do you really know what it means?

Research is a type of study that focuses on a specific problem and aims to solve it using scientific methods. Research is a highly systematic process that involves both describing, explaining, and predicting something.

Photo by  Startup Stock Photos  from  Pexels

What are research skills.

Research skills are what helps us answer our most burning questions, and they are what assist us in our solving process from A to Z, including searching, finding, collecting, breaking down, and evaluating the relevant information to the phenomenon at hand.

Research is the basis of everything we know — and without it, we’re not sure where we would be today! For starters, without the internet and without cars, that’s for sure.

Why are Research Skills Important?

Research skills come in handy in pretty much everything we do, and especially so when it comes to the workforce. Employers will want to hire you and compensate you better if you demonstrate a knowledge of research skills that can benefit their company.

From knowing how to write reports, how to notice competition, develop new products, identify customer needs, constantly learn new technologies, and improve the company’s productivity, there’s no doubt that research skills are of utter importance. Research also can save a company a great deal of money by first assessing whether making an investment is really worthwhile for them.

How to Get Research Skills

Now that you’re fully convinced about the importance of research skills, you’re surely going to want to know how to get them. And you’ll be delighted to hear that it’s really not so complicated! There are plenty of simple methods out there to gain research skills such as the internet as the most obvious tool.

Gaining new research skills however is not limited to just the internet. There are tons of books, such as Lab Girl by Hope Jahren, journals, articles, studies, interviews and much, much more out there that can teach you how to best conduct your research.

Utilizing Research Skills

Now that you’ve got all the tools you need to get started, let’s utilize these research skills to the fullest. These skills can be used in more ways than you know. Your research skills can be shown off either in interviews that you’re conducting or even in front of the company you’re hoping to get hired at .

It’s also useful to add your list of research skills to your resume, especially if it’s a research-based job that requires skills such as collecting data or writing research-based reports. Many jobs require critical thinking as well as planning ahead.

Career Paths that Require Research Skills

If you’re wondering which jobs actually require these research skills, they are actually needed in a variety of industries. Some examples of the types of work that require a great deal of research skills include any position related to marketing, science , history, report writing, and even the food industry.

Photo by  Abby Chung  from  Pexels

How students can improve research skills.

Perhaps you know what you have to do, but sometimes, knowing how to do it can be more of a challenge. So how can you as a student improve your research skills ?

1. Define your research according to the assignment

By defining your research and understanding how it relates to the specific field of study, it can give more context to the situation.

2. Break down the assignment

The most difficult part of the research process is actually just getting started. By breaking down your research into realistic and achievable parts, it can help you achieve your goals and stay systematic.

3. Evaluate your sources

While there are endless sources out there, it’s important to always evaluate your sources and make sure that they are reliable, based on a variety of factors such as their accuracy and if they are biased, especially if used for research purposes.

4. Avoid plagiarism

Plagiarism is a major issue when it comes to research, and is often misunderstood by students. IAs a student, it’s important that you understand what plagiarism really means, and if you are unclear, be sure to ask your teachers.

5. Consult and collaborate with a librarian

A librarian is always a good person to have around, especially when it comes to research. Most students don’t seek help from their school librarian, however, this person tends to be someone with a vast amount of knowledge when it comes to research skills and where to look for reliable sources.

6. Use library databases

There are tons of online library resources that don’t require approaching anyone. These databases are generally loaded with useful information that has something for every student’s specific needs.

7. Practice effective reading

It’s highly beneficial to practice effective reading, and there are no shortage of ways to do it. One effective way to improve your research skills it to ask yourself questions using a variety of perspectives, putting yourself in the mind of someone else and trying to see things from their point of view.

There are many critical reading strategies that can be useful, such as making summaries from annotations, and highlighting important passages.

Thesis definition

A thesis is a specific theory or statement that is to be either proved or maintained. Generally, the intentions of a thesis are stated, and then throughout, the conclusions are proven to the reader through research. A thesis is crucial for research because it is the basis of what we are trying to prove, and what guides us through our writing.

What Skills Do You Need To Be A Researcher?

One of the most important skills needed for research is independence, meaning that you are capable of managing your own work and time without someone looking over you.

Critical thinking, problem solving, taking initiative, and overall knowing how to work professionally in front of your peers are all crucial for effectively conducting research .

1. Fact check your sources

Knowing how to evaluate information in your sources and determine whether or not it’s accurate, valid or appropriate for the specific purpose is a first on the list of research skills.

2. Ask the right questions

Having the ability to ask the right questions will get you better search results and more specific answers to narrow down your research and make it more concise.

3. Dig deeper: Analyzing

Don’t just go for the first source you find that seems reliable. Always dig further to broaden your knowledge and make sure your research is as thorough as possible.

4. Give credit

Respect the rights of others and avoid plagiarizing by always properly citing your research sources.

5. Utilize tools

There are endless tools out there, such as useful websites, books, online videos, and even on-campus professionals such as librarians that can help. Use all the many social media networks out there to both gain and share more information for your research.

6. Summarizing

Summarizing plays a huge role in research, and once the data is collected, relevant information needs to be arranged accordingly. Otherwise it can be incredibly overwhelming.

7. Categorizing

Not only does information need to be summarized, but also arranged into categories that can help us organize our thoughts and break down our materials and sources of information.

Photo by  Noelle Otto  from  Pexels

What are different types of research, 1. qualitative.

This type of research is exploratory research and its aim is to obtain a better understanding of reasons for things. Qualitative research helps form an idea without any specific fixed pattern. Some examples include face-to-face interviews or group discussions.

2. Quantitative

Quantitative research is based on numbers and statistics. This type of research uses data to prove facts, and is generally taken from a large group of people.

3. Analytical

Analytical research has to always be done from a neutral point of view, and the researcher is intended to break down all perspectives. This type of research involves collecting information from a wide variety of sources.

4. Persuasive

Persuasive research describes an issue from two different perspectives, going through both the pros and cons of both, and then aims to prove their preference towards one side by exploring a variety of logical facts.

5. Cause & Effect

In this type of research, the cause and effects are first presented, and then a conclusion is made. Cause and effect research is for those who are new in the field of research and is mostly conducted by high school or college students.

6. Experimental Research

Experimental research involves very specific steps that must be followed, starting by conducting an experiment. It is then followed by sharing an experience and providing data about it. This research is concluded with data in a highly detailed manner.

7. Survey Research

Survey research includes conducting a survey by asking participants specific questions, and then analyzing those findings. From that, researchers can then draw a conclusion.

8. Problem-Solution Research

Both students and scholars alike carry out this type of research, and it involves solving problems by analyzing the situation and finding the perfect solution to it.

What it Takes to Become a Researcher

• Critical thinking

Research is most valuable when something new is put on the table. Critical thinking is needed to bring something unique to our knowledge and conduct research successfully.

• Analytical thinking

Analytical thinking is one of the most important research skills and requires a great deal of practice. Such a skill can assist researchers in taking apart and understanding a large amount of important information in a short amount of time.

• Explanation skills

When it comes to research skills, it’s not just about finding information, but also about how you explain it. It’s more than just writing it out, but rather, knowing how to clearly and concisely explain your new ideas.

• Patience is key

Just like with anything in life, patience will always take you far. It might be difficult to come by, but by not rushing things and investing the time needed to conduct research properly, your work is bound for success.

• Time management

Time is the most important asset that we have, and it can never be returned back to us. By learning time management skills , we can utilize our time in the best way possible and make sure to always be productive in our research.

What You Need to Sharpen Your Research Skills

Research is one of the most important tasks that students are given in college, and in many cases, it’s almost half of the academic grade that one is given.

As we’ve seen, there are plenty of things that you’ll need to sharpen your research skills — which mainly include knowing how to choose reliable and relevant sources, and knowing how to take them and make it your own. It’s important to always ask the right questions and dig deeper to make sure that you understood the full picture.

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• Research skills

Updated on 04 June 2020

Research skills are in demand. This guide explains what research skills are and how you can prove you've got them!

What are research skills?

In a nutshell, research skills help us find answers to questions.

Research skills are the ability to search for, find, collect, analyse, interpret and evaluate information that is relevant to the subject being studied.

Research shapes the future, it teaches us new things and helps us adapt and evolve. Without research, we wouldn't have cars, smartphones or the internet (or this website for that matter!)

Everyone is a researcher

We all research, even if we don't know it.

The internet is a huge part of our lives. Using search engines (like Google) is a way of researching. Whether you're finding cheap flights or a top restaurant, it's all research!

Why are research skills important?

Employers love research skills. Research is an important part of business because it helps companies:

• Report writing
• Keep an eye on their competitors
• Develop new products
• Identify what customers want
• Get better at what they do
• Keep up with changing technologies

Research skills show companies you're able to suggest new ideas and help the business adapt to the ever changing world we live in.

Research saves money

Launching a new product is expensive. Research helps companies find out if anyone will buy it.

Launching a product without research is risky. There might not be a demand for it. The money spent on launch, marketing and production could've been saved if the company did some research.

How can you gain research skills?

You can research using tools and methods like:

• The internet
• Experiments

How can you demonstrate your research skills?

As a graduate, It's likely you've done a lot of researching! For example during:

• Your dissertation
• Assignments
• Group projects

In interviews

Talk about what you researched, how you did it and what you found. Explaining research you've done as part of a group will also demonstrate your teamwork skills #2birds1stone.

Using the S.M.A.R.T framework is helpful way to structure your answer. You can read more about S.M.A.R.T in our planning and organising guide.

Show what you know

Demonstrate your research skills by sharing what you know about the industry or company you want to work for. The more you know, the more likely you are to impress.

Add your research skills to your CV

Especially if you're applying for a job that requires research skills.

In many cases, your CV is your chance to make a first impression. Your CV will help employers check you've got the right skills. If they can see you've got them, it's likely you'll get to the next stage.

Examples of research skills

Here's a list of some research skills for your CV:

• Data collection
• Analysis of information from different sources
• Finding information off the internet
• Critical thinking
• Planning and scheduling
• Interviewing
• Critical analysis

Which careers require research skills?

Research plays a key role in several industries. For example:

• Consumer goods

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What are bank research jobs – and what do research analysts do?

• If you work in research in an investment bank, you will make predictions about traded securities. These could be either equity or debt (fixed income).
• You’ll need to understand businesses and economic issues in detail.
• People who succeed in research jobs tend to be good communicators and creative thinkers.
• Top performers in research often go into other roles in fund management or investment banking, although there are plenty of highly-paid and senior jobs in research itself.
• As a researcher, you are effectively a resource for the rest of the bank to consult; there are always opportunities to impress senior bankers.

What do research jobs in banking involve?

The research department of an investment bank is not the most glamorous division, because the people who work there don’t directly generate revenue. Furthermore, it’s a bit of an unhappy coincidence that the name of the most junior career title in investment banking (“analyst”) is also the generic name given to the employees who research and analyze companies, entire sectors, and their creditworthiness. In research, you get “analysts” who are actually Managing Directors . 

However, banks employ lots of research analysts, and they do it for a reason. A research analyst’s job is to understand the reason for the valuation of financial instruments, and a large part of the business of investment banking is to understand what the fair price for something is. This is important if you’re buying and selling bonds and equities in the hope of making money from price changes, but research analysts also help capital markets and advisory bankers to understand their clients’ business and make better pitches. 

In general, research analysts are attached to the sales and trading business line, where they comment on price movements and issue buy and sell (or overweight/ underweight) recommendations to investor clients. Because of this, research analysts will usually specialize either in equities or in debt. Some banks have specialist cross asset research teams working across both, and sometimes there will be a separate economics research team serving both sides of sales and trading, but it is just as common to see both debt and equity divisions employing their own economic researchers focused on the economic implications for their specific markets. Researchers of this breed are often referred to as strategists.

What do fixed income analysis jobs involve?

Fixed income analysis is a job that deals with all areas of interest rate markets and issuers that connect the central bank to sovereign and corporate borrowers. Moyeen Islam of Barclays describes the fixed income strategist’s role as “to translate the economists’ view on the likely policy path of the central bank into a market view.” 

Fixed income analysts tend to have a much greater number of companies to cover than equity research analysts, but unlike equity researchers they don’t generally publish earnings forecasts and make fewer trading recommendations. Consequently, their notes tend to be shorter and they publish fewer updates. Fixed income researchers also need to be aware of the credit ratings of bonds under their coverage, and to anticipate ratings changes. 

Like equity analysts, fixed income (also known as bond research) teams tend to be split by sector and by geography, although fixed income research departments tend to have larger teams covering financials than any other sector, reflecting the fact that the financial sector itself is the largest issuer. Darren Sharma, founder and CEO of Frontline Analysts, says that “you’re basically running a small, very specialized news service with a particular beat to cover, and a readership of a few dozen – maybe a few hundred – extremely well-informed people. Within that little area, you’ve got to be the Wall Street Journal, the Economist and the BBC World Service”. 

What do equity research analysis jobs involve?

Equity research analysts are divided into teams. These will generally be sector-based and follow the same sectoral classifications as the stock market indices – consumer goods, technology, financials, oil & gas and so on. Geographically, the teams will be divided according to the investor base, so there are usually EMEA, Americas, APAC, and emerging markets analyst teams in every sector, who communicate with one another to establish a reasonably consistent global view.

Equity analysts typically cover around ten stocks each and will be expected to write notes on every set of quarterly results for each of the companies they cover, along with regular thematic notes on the industry as a whole and updates when they change their view on valuation or their recommendation. They also maintain spreadsheet models of each of their companies, and publish earnings forecasts. 

The job of an equity analyst is a bit different in a hedge fund . Shawn Cain covers 50 different restaurant, retail, and leisure stocks at hedge fund Citadel . When I was an analyst at an investment bank, I used to write long research reports,” Cain told us. At Citadel, Cain said his job as an analyst is to present the portfolio manager with "actionable investment ideas," and to synthesize other research so that the PM can understand a path to meeting money. He also meets with the management of the companies he covers to help better understand their strategies. 

What do deal research jobs involve?

As well as supporting the sales and trading business by making recommendations to clients and warning the trading desk of upcoming events, research analysts have to write “deal research”. This happens when the bank is involved in an issue of new securities, arranging by the capital markets team (Equity Capital Markets or Debt Capital Markets). Deal research does not contain any investment recommendations: it’s meant to give a summary to investors of the key facts relating to the issuer, a set of earnings forecasts and a range of valuations. 

Deal research is also known as primary research, supporting primary deals. By comparison, everyday trading recommendations are known as secondary research because they refer to securities which have already been issued. Writing primary research is a relatively rare event for equity analysts, as it is associated with IPOs and rights issues. For bond analysts, however, it is the main part of the job, as fixed income securities tend to trade less but require constant new issuance as bonds mature. 

Which skills are required for equity and fixed income research jobs?

Research analysts are often looked on as the nerds of the sales and trading department. To do well in equity or debt research, you need to be comfortable with doing a lot of reading of company accounts and economic data and absorbing much more detailed information than in some other investment banking specialties. Your job is to be the expert that others consult. 

However, research is also a job in which there’s surprising scope for creativity. The currency analysts work in is ideas. The best analysts can take a sideways view and see something that others have missed is what really makes an analyst stand out. Huw van Steenis, vice chairman and partner at management consultant Oliver Wyman, says that analysts need to “read voraciously, analyze the what-ifs and tails and build a mosaic. There is no one way to develop your edge, but being curious, try to be early on a big theme and insisting on catalysts all help”. 

Analysts aren’t confined to the back rooms of the research department. They are expected to make phone calls and presentations to investors and market their ideas and research, and to build relationships with companies in order to understand them and make forecasts. So, although the ability to build an accurate spreadsheet model is important, the ability to communicate and relate to other people is absolutely vital. At the highest levels of the research department, superstar analysts and strategists might find themselves spending nearly all of their time out meeting clients and companies, with a team of juniors back in the office to do the background work and come up with the numbers and facts to support their views. 

These attributes are general across the research department. However, there are also a few differences between the skills needed of equity and fixed income (debt researchers). 

In general, because of the way that the underlying securities work and the risk to the downside, debt analysis has a greater need of skills like precision and attention to detail. By comparison, equity analysts are expected to publish earnings forecasts and price targets, and an equity analyst can sometimes get away with a few minor errors if their big picture understanding of broad trends is really good. 

In both equity and debt research, there is often room for analysts to move on to other areas of the banking industry; because you build up a visible track record of successful and unsuccessful recommendations, analysts are often recruited by hedge funds and the buy side. 

Alternatively, analysts who have strong relationships and understanding of the companies they cover will sometimes find themselves gravitating toward roles in corporate finance/ capital markets or M&A advisory . We’ve also noticed a marked trend for equity analysts to end up in investor relations for the firms they’ve previously covered, too.

Education and qualifications for research jobs

It helps to study the right subjects. SocGen’s recent research recruits have studied finance, economics and mathematics. 

Because researchers often specialize in particular sectors, there can be more variety in the qualifications in research. Medical doctors will sometimes cover biotech firms, for example. After a few years in a particular industry, like healthcare, an MBA can provide an opportunity to pivot into a research job at associate level.

The CFA Charter and the three related CFA exams were designed for researchers, so this is the critical qualification here. If you want to work in research, it probably helps to start studying the CFA Level 1, even at university.

Salaries and bonuses in research

Research jobs are well paid. Below is an excerpt from our 2024 salary and bonus report . Figures are in US dollars, and are an aggregate of all global respondents working in equity research – pay varies by jurisdiction, with the US paying its staff best, generally speaking, with European and Asian bank staff paid comparatively worst. Although bonuses are low for juniors in comparison to other investment bankers, they can increase rapidly once a researcher distinguishes themselves from their peers.

With additional material from Zeno Toulon.

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You Need New Skills to Make a Career Pivot. Here’s How to Find the Time to Build Them.

• Elizabeth Grace Saunders

Even when you have a full-time job.

With any significant change in your career comes the need for new skills. But that’s even more true when you want a radical career change. In these situations, it’s going to take more than listening to a few webinars to build the knowledge you need get to where you want to go. You must set aside a significant amount of time for self-directed learning, formal training, or even a second job to gain the skills for the big leap.

There are a few strategies to be effective for consistently making time for acquiring new career skills. First, accept the time commitment; you may need to scale back on nonessential activities. Second, research what’s required for your new field, whether it’s formal licensing, independent working, or side hustle work. Third, layer in learning onto activities you’re already doing throughout your day. Fourth, designate specific times you’ll dedicate to skill-building — and stick to it. Finally, modify your work schedule, if needed.

Sometimes you don’t just want a new job, you want a radical career change . Perhaps you’ve been in finance and now want to be an acupuncturist, you’re a marketer eager to lead a startup, or you’re an educator looking to shift into catering and event planning.

• ES Elizabeth Grace Saunders is a time management coach and the founder of Real Life E Time Coaching & Speaking . She is the author of How to Invest Your Time Like Money and Divine Time Management . Find out more at RealLifeE.com .

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Join the EERC, an international leader in energy and environmental research and a nonprofit branch of the University of North Dakota (UND), which gives our employees access to unbeatable benefits and tuition waivers. Learn more about the EERC at undeerc.org. 

Be a part of cutting-edge research, engage with professionals who share your passion, and create work you can be proud of. As an Outreach Coordinator, you will contribute to the success of the organization by performing one or more of the following:

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A new future of work: The race to deploy AI and raise skills in Europe and beyond

At a glance.

Amid tightening labor markets and a slowdown in productivity growth, Europe and the United States face shifts in labor demand, spurred by AI and automation. Our updated modeling of the future of work finds that demand for workers in STEM-related, healthcare, and other high-skill professions would rise, while demand for occupations such as office workers, production workers, and customer service representatives would decline. By 2030, in a midpoint adoption scenario, up to 30 percent of current hours worked could be automated, accelerated by generative AI (gen AI). Efforts to achieve net-zero emissions, an aging workforce, and growth in e-commerce, as well as infrastructure and technology spending and overall economic growth, could also shift employment demand.

By 2030, Europe could require up to 12 million occupational transitions, double the prepandemic pace. In the United States, required transitions could reach almost 12 million, in line with the prepandemic norm. Both regions navigated even higher levels of labor market shifts at the height of the COVID-19 period, suggesting that they can handle this scale of future job transitions. The pace of occupational change is broadly similar among countries in Europe, although the specific mix reflects their economic variations.

Businesses will need a major skills upgrade. Demand for technological and social and emotional skills could rise as demand for physical and manual and higher cognitive skills stabilizes. Surveyed executives in Europe and the United States expressed a need not only for advanced IT and data analytics but also for critical thinking, creativity, and teaching and training—skills they report as currently being in short supply. Companies plan to focus on retraining workers, more than hiring or subcontracting, to meet skill needs.

Workers with lower wages face challenges of redeployment as demand reweights toward occupations with higher wages in both Europe and the United States. Occupations with lower wages are likely to see reductions in demand, and workers will need to acquire new skills to transition to better-paying work. If that doesn’t happen, there is a risk of a more polarized labor market, with more higher-wage jobs than workers and too many workers for existing lower-wage jobs.

Choices made today could revive productivity growth while creating better societal outcomes. Embracing the path of accelerated technology adoption with proactive worker redeployment could help Europe achieve an annual productivity growth rate of up to 3 percent through 2030. However, slow adoption would limit that to 0.3 percent, closer to today’s level of productivity growth in Western Europe. Slow worker redeployment would leave millions unable to participate productively in the future of work.

Demand will change for a range of occupations through 2030, including growth in STEM- and healthcare-related occupations, among others

This report focuses on labor markets in nine major economies in the European Union along with the United Kingdom, in comparison with the United States. Technology, including most recently the rise of gen AI, along with other factors, will spur changes in the pattern of labor demand through 2030. Our study, which uses an updated version of the McKinsey Global Institute future of work model, seeks to quantify the occupational transitions that will be required and the changing nature of demand for different types of jobs and skills.

Our methodology

We used methodology consistent with other McKinsey Global Institute reports on the future of work to model trends of job changes at the level of occupations, activities, and skills. For this report, we focused our analysis on the 2022–30 period.

Our model estimates net changes in employment demand by sector and occupation; we also estimate occupational transitions, or the net number of workers that need to change in each type of occupation, based on which occupations face declining demand by 2030 relative to current employment in 2022. We included ten countries in Europe: nine EU members—the Czech Republic, Denmark, France, Germany, Italy, Netherlands, Poland, Spain, and Sweden—and the United Kingdom. For the United States, we build on estimates published in our 2023 report Generative AI and the future of work in America.

We included multiple drivers in our modeling: automation potential, net-zero transition, e-commerce growth, remote work adoption, increases in income, aging populations, technology investments, and infrastructure investments.

Two scenarios are used to bookend the work-automation model: “late” and “early.” For Europe, we modeled a “faster” scenario and a “slower” one. For the faster scenario, we use the midpoint—the arithmetical average between our late and early scenarios. For the slower scenario, we use a “mid late” trajectory, an arithmetical average between a late adoption scenario and the midpoint scenario. For the United States, we use the midpoint scenario, based on our earlier research.

We also estimate the productivity effects of automation, using GDP per full-time-equivalent (FTE) employee as the measure of productivity. We assumed that workers displaced by automation rejoin the workforce at 2022 productivity levels, net of automation, and in line with the expected 2030 occupational mix.

Amid tightening labor markets and a slowdown in productivity growth, Europe and the United States face shifts in labor demand, spurred not only by AI and automation but also by other trends, including efforts to achieve net-zero emissions, an aging population, infrastructure spending, technology investments, and growth in e-commerce, among others (see sidebar, “Our methodology”).

Our analysis finds that demand for occupations such as health professionals and other STEM-related professionals would grow by 17 to 30 percent between 2022 and 2030, (Exhibit 1).

By contrast, demand for workers in food services, production work, customer services, sales, and office support—all of which declined over the 2012–22 period—would continue to decline until 2030. These jobs involve a high share of repetitive tasks, data collection, and elementary data processing—all activities that automated systems can handle efficiently.

Up to 30 percent of hours worked could be automated by 2030, boosted by gen AI, leading to millions of required occupational transitions

By 2030, our analysis finds that about 27 percent of current hours worked in Europe and 30 percent of hours worked in the United States could be automated, accelerated by gen AI. Our model suggests that roughly 20 percent of hours worked could still be automated even without gen AI, implying a significant acceleration.

These trends will play out in labor markets in the form of workers needing to change occupations. By 2030, under the faster adoption scenario we modeled, Europe could require up to 12.0 million occupational transitions, affecting 6.5 percent of current employment. That is double the prepandemic pace (Exhibit 2). Under a slower scenario we modeled for Europe, the number of occupational transitions needed would amount to 8.5 million, affecting 4.6 percent of current employment. In the United States, required transitions could reach almost 12.0 million, affecting 7.5 percent of current employment. Unlike Europe, this magnitude of transitions is broadly in line with the prepandemic norm.

Both regions navigated even higher levels of labor market shifts at the height of the COVID-19 period. While these were abrupt and painful to many, given the forced nature of the shifts, the experience suggests that both regions have the ability to handle this scale of future job transitions.

Businesses will need a major skills upgrade

The occupational transitions noted above herald substantial shifts in workforce skills in a future in which automation and AI are integrated into the workplace (Exhibit 3). Workers use multiple skills to perform a given task, but for the purposes of our quantification, we identified the predominant skill used.

Demand for technological skills could see substantial growth in Europe and in the United States (increases of 25 percent and 29 percent, respectively, in hours worked by 2030 compared to 2022) under our midpoint scenario of automation adoption (which is the faster scenario for Europe).

Demand for social and emotional skills could rise by 11 percent in Europe and by 14 percent in the United States. Underlying this increase is higher demand for roles requiring interpersonal empathy and leadership skills. These skills are crucial in healthcare and managerial roles in an evolving economy that demands greater adaptability and flexibility.

Conversely, demand for work in which basic cognitive skills predominate is expected to decline by 14 percent. Basic cognitive skills are required primarily in office support or customer service roles, which are highly susceptible to being automated by AI. Among work characterized by these basic cognitive skills experiencing significant drops in demand are basic data processing and literacy, numeracy, and communication.

Demand for work in which higher cognitive skills predominate could also decline slightly, according to our analysis. While creativity is expected to remain highly sought after, with a potential increase of 12 percent by 2030, work activities characterized by other advanced cognitive skills such as advanced literacy and writing, along with quantitative and statistical skills, could decline by 19 percent.

Demand for physical and manual skills, on the other hand, could remain roughly level with the present. These skills remain the largest share of workforce skills, representing about 30 percent of total hours worked in 2022. Growth in demand for these skills between 2022 and 2030 could come from the build-out of infrastructure and higher investment in low-emissions sectors, while declines would be in line with continued automation in production work.

Business executives report skills shortages today and expect them to worsen

A survey we conducted of C-suite executives in five countries shows that companies are already grappling with skills challenges, including a skills mismatch, particularly in technological, higher cognitive, and social and emotional skills: about one-third of the more than 1,100 respondents report a shortfall in these critical areas. At the same time, a notable number of executives say they have enough employees with basic cognitive skills and, to a lesser extent, physical and manual skills.

Within technological skills, companies in our survey reported that their most significant shortages are in advanced IT skills and programming, advanced data analysis, and mathematical skills. Among higher cognitive skills, significant shortfalls are seen in critical thinking and problem structuring and in complex information processing. About 40 percent of the executives surveyed pointed to a shortage of workers with these skills, which are needed for working alongside new technologies (Exhibit 4).

Companies see retraining as key to acquiring needed skills and adapting to the new work landscape

Surveyed executives expect significant changes to their workforce skill levels and worry about not finding the right skills by 2030. More than one in four survey respondents said that failing to capture the needed skills could directly harm financial performance and indirectly impede their efforts to leverage the value from AI.

To acquire the skills they need, companies have three main options: retraining, hiring, and contracting workers. Our survey suggests that executives are looking at all three options, with retraining the most widely reported tactic planned to address the skills mismatch: on average, out of companies that mentioned retraining as one of their tactics to address skills mismatch, executives said they would retrain 32 percent of their workforce. The scale of retraining needs varies in degree. For example, respondents in the automotive industry expect 36 percent of their workforce to be retrained, compared with 28 percent in the financial services industry. Out of those who have mentioned hiring or contracting as their tactics to address the skills mismatch, executives surveyed said they would hire an average of 23 percent of their workforce and contract an average of 18 percent.

Occupational transitions will affect high-, medium-, and low-wage workers differently

All ten European countries we examined for this report may see increasing demand for top-earning occupations. By contrast, workers in the two lowest-wage-bracket occupations could be three to five times more likely to have to change occupations compared to the top wage earners, our analysis finds. The disparity is much higher in the United States, where workers in the two lowest-wage-bracket occupations are up to 14 times more likely to face occupational shifts than the highest earners. In Europe, the middle-wage population could be twice as affected by occupational transitions as the same population in United States, representing 7.3 percent of the working population who might face occupational transitions.

Enhancing human capital at the same time as deploying the technology rapidly could boost annual productivity growth

About quantumblack, ai by mckinsey.

QuantumBlack, McKinsey’s AI arm, helps companies transform using the power of technology, technical expertise, and industry experts. With thousands of practitioners at QuantumBlack (data engineers, data scientists, product managers, designers, and software engineers) and McKinsey (industry and domain experts), we are working to solve the world’s most important AI challenges. QuantumBlack Labs is our center of technology development and client innovation, which has been driving cutting-edge advancements and developments in AI through locations across the globe.

Organizations and policy makers have choices to make; the way they approach AI and automation, along with human capital augmentation, will affect economic and societal outcomes.

We have attempted to quantify at a high level the potential effects of different stances to AI deployment on productivity in Europe. Our analysis considers two dimensions. The first is the adoption rate of AI and automation technologies. We consider the faster scenario and the late scenario for technology adoption. Faster adoption would unlock greater productivity growth potential but also, potentially, more short-term labor disruption than the late scenario.

The second dimension we consider is the level of automated worker time that is redeployed into the economy. This represents the ability to redeploy the time gained by automation and productivity gains (for example, new tasks and job creation). This could vary depending on the success of worker training programs and strategies to match demand and supply in labor markets.

We based our analysis on two potential scenarios: either all displaced workers would be able to fully rejoin the economy at a similar productivity level as in 2022 or only some 80 percent of the automated workers’ time will be redeployed into the economy.

Exhibit 5 illustrates the various outcomes in terms of annual productivity growth rate. The top-right quadrant illustrates the highest economy-wide productivity, with an annual productivity growth rate of up to 3.1 percent. It requires fast adoption of technologies as well as full redeployment of displaced workers. The top-left quadrant also demonstrates technology adoption on a fast trajectory and shows a relatively high productivity growth rate (up to 2.5 percent). However, about 6.0 percent of total hours worked (equivalent to 10.2 million people not working) would not be redeployed in the economy. Finally, the two bottom quadrants depict the failure to adopt AI and automation, leading to limited productivity gains and translating into limited labor market disruptions.

Four priorities for companies

The adoption of automation technologies will be decisive in protecting businesses’ competitive advantage in an automation and AI era. To ensure successful deployment at a company level, business leaders can embrace four priorities.

Understand the potential. Leaders need to understand the potential of these technologies, notably including how AI and gen AI can augment and automate work. This includes estimating both the total capacity that these technologies could free up and their impact on role composition and skills requirements. Understanding this allows business leaders to frame their end-to-end strategy and adoption goals with regard to these technologies.

Plan a strategic workforce shift. Once they understand the potential of automation technologies, leaders need to plan the company’s shift toward readiness for the automation and AI era. This requires sizing the workforce and skill needs, based on strategically identified use cases, to assess the potential future talent gap. From this analysis will flow details about the extent of recruitment of new talent, upskilling, or reskilling of the current workforce that is needed, as well as where to redeploy freed capacity to more value-added tasks.

Prioritize people development. To ensure that the right talent is on hand to sustain the company strategy during all transformation phases, leaders could consider strengthening their capabilities to identify, attract, and recruit future AI and gen AI leaders in a tight market. They will also likely need to accelerate the building of AI and gen AI capabilities in the workforce. Nontechnical talent will also need training to adapt to the changing skills environment. Finally, leaders could deploy an HR strategy and operating model to fit the post–gen AI workforce.

Pursue the executive-education journey on automation technologies. Leaders also need to undertake their own education journey on automation technologies to maximize their contributions to their companies during the coming transformation. This includes empowering senior managers to explore automation technologies implications and subsequently role model to others, as well as bringing all company leaders together to create a dedicated road map to drive business and employee value.

AI and the toolbox of advanced new technologies are evolving at a breathtaking pace. For companies and policy makers, these technologies are highly compelling because they promise a range of benefits, including higher productivity, which could lift growth and prosperity. Yet, as this report has sought to illustrate, making full use of the advantages on offer will also require paying attention to the critical element of human capital. In the best-case scenario, workers’ skills will develop and adapt to new technological challenges. Achieving this goal in our new technological age will be highly challenging—but the benefits will be great.

Eric Hazan is a McKinsey senior partner based in Paris; Anu Madgavkar and Michael Chui are McKinsey Global Institute partners based in New Jersey and San Francisco, respectively; Sven Smit is chair of the McKinsey Global Institute and a McKinsey senior partner based in Amsterdam; Dana Maor is a McKinsey senior partner based in Tel Aviv; Gurneet Singh Dandona is an associate partner and a senior expert based in New York; and Roland Huyghues-Despointes is a consultant based in Paris.

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The Australian labour market displayed remarkable resilience over the March quarter 2024 with the pace of employment growth increasing more strongly than initially anticipated. Despite the improvement over the quarter, labour market activity has eased over the last year.

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Where current conditions have changed from the long-term average, it is possible to identify drivers in characteristics such as industry composition, availability of natural resources and location. 

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Youth not engaged in education, employment, or training: a discrete choice experiment of service preferences in Canada

• Meaghen Quinlan-Davidson 1 , 2 ,
• Mahalia Dixon 1 ,
• Gina Chinnery 3 ,
• Lisa D. Hawke 1 , 4 ,
• Srividya Iyer 5 , 6 ,
• Katherine Moxness 7 ,
• Matthew Prebeg 1 , 8 ,
• Lehana Thabane 9 , 10 , 11 &
• J. L. Henderson 1 , 4  

BMC Public Health volume  24 , Article number:  1402 ( 2024 ) Cite this article

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Prior research has showed the importance of providing integrated support services to prevent and reduce youth not in education, employment, or training (NEET) related challenges. There is limited evidence on NEET youth’s perspectives and preferences for employment, education, and training services. The objective of this study was to identify employment, education and training service preferences of NEET youth. We acknowledge the deficit-based lens associated with the term NEET and use ‘upcoming youth’ to refer to this population group.

Canadian youth (14–29 years) who reported Upcoming status or at-risk of Upcoming status were recruited to the study. We used a discrete choice experiment (DCE) survey, which included ten attributes with three levels each indicating service characteristics. Sawtooth software was used to design and administer the DCE. Participants also provided demographic information and completed the Global Appraisal of Individual Needs–Short Screener. We analyzed the data using hierarchical Bayesian methods to determine service attribute importance and latent class analyses to identify groups of participants with similar service preferences.

A total of n =503 youth participated in the study. 51% of participants were 24–29 years of age; 18.7% identified as having Upcoming status; 41.1% were from rural areas; and 36.0% of youth stated that they met basic needs with a little left. Participants strongly preferred services that promoted life skills, mentorship, basic income, and securing a work or educational placement. Three latent classes were identified and included: (i) job and educational services (38.9%), or services that include career counseling and securing a work or educational placement; (ii) mental health and wellness services (34.9%), or services that offer support for mental health and wellness in the workplace and free mental health and substance use services; and (iii) holistic skills building services (26.1%), or services that endorsed skills for school and job success, and life skills.

Conclusions

This study identified employment, education, and training service preferences among Upcoming youth. The findings indicate a need to create a service model that supports holistic skills building, mental health and wellness, and long-term school and job opportunities.

Peer Review reports

Youth not in education, employment, or training (NEET) struggle to navigate school to work transitions and experience difficulties accessing jobs [ 1 ]. These youth are disconnected from school, have limited work experience [ 2 ], and experience a loss of economic, social, and human capital [ 3 ]. NEET status is associated with lower education, parental unemployment, low socioeconomic status, low self-confidence, more precarious housing, and young parenthood [ 4 , 5 , 6 , 7 , 8 ]. In Canada, the percentage of NEET youth (15–29 years) was estimated at 11% in 2022 [ 9 ]. Importantly, NEET status is not homogenous across the country, ranging from 36% in Nunavut, 20% in Northwest Territories, and 17% in Newfoundland and Labrador to 10% in Quebec, Prince Edward Island and British Columbia) [ 10 ]. Supporting and protecting these marginalized youth remains a challenge, particularly in light of the Coronavirus disease 2019 (COVID-19) pandemic, which adversely impacted the school to workforce transition for youth across the country [ 11 ]. Although the term NEET has been used to describe this population, it is considered stigmatizing and associated with a deficit-based lens[ 12 ]. As such, and in consultation with one of our youth team members, we refer to this population as ‘Upcoming youth’[ 13 ].

Upcoming status has gained attention across Canada in recent decades [ 14 ]. As an illustration of this focus, federal, provincial/territorial, and local programs exist to support Upcoming youth across the country [ 15 ]. Despite these efforts, evidence indicates program fragmentation, limited coordination across sectors and regions, and a lack of evaluation of these programs [ 16 ]. Further, these programs may be available to youth on a short-term basis and specific to youth who meet education, income, and age criteria [ 17 ]. There is a lack of knowledge of how to (re)engage Upcoming youth in general education and employment support services. Often the same limited outcomes are measured and reported (e.g., job attainment) with services focusing on these outcomes. At the same time, youth have not been asked what outcomes they prefer and accordingly what services they would like. Indeed, selective outcome reporting and lack of engagement of youth impairs the quality of evidence and contributes to research waste [ 18 ]. Given the heterogeneity of Upcoming status, this lack of evidence is particularly important for subgroups of youth (e.g., geographic location; socioeconomic status; mental health status) who face challenges in the school-to-work transition.

Prior global research has emphasized the importance of integrated, coordinated interventions that offer a range of support services (e.g., on-the-job, classroom-based, and social skills training) to prevent and reduce Upcoming status [ 19 , 20 , 21 , 22 , 23 ] [ 24 ]. Integrated youth service (IYS) models, which integrate education, employment, mental and physical health, substance use, peer support, and navigation in one, youth-friendly location have been established in Canada [ 25 ]. IYS deliver services that meet the needs, goals, and preferences of youth, and hold promise in serving vulnerable Upcoming youth through the provision of holistic services in a youth-friendly environment. Indeed, IYS models are investigating how to optimize employment, education, and training services as a critical component of supporting youth wellbeing and their successful transition to adulthood. This point is particularly important as Upcoming youth experience greater mental health and substance use (MHSU) concerns compared to youth who do not identify as Upcoming [ 26 , 27 ].

An essential component to designing and enhancing health and social services for Upcoming youth is understanding their perspectives [ 28 ]. Yet, there is a lack of evidence on Upcoming youth’s perspectives and preferences for employment, education, and training services within the Canadian context. For interventions to be relevant to the needs and experiences of youth—which will increase their chances of using the services and benefiting from them—it is important to understand what youth aim to achieve when participating in an intervention. Engaging youth in identifying service components and interventions will ensure that programs and services are relevant, feasible, and appropriate to this population group [ 29 ].

An approach that can be used to identify the demands and preferences of youth is the discrete choice experiment (DCE) [ 30 , 31 ]. The DCE is a quantitative method that requires participants to state their choice over sets of alternatives described in terms of several characteristics called attributes and the value placed on each attribute [ 30 , 31 ]. In this way, the DCE is able to identify the importance of attributes along which a variety of service options vary, as well as service preferences among subgroups. DCEs are one of the most popular methods for eliciting stated- preferences in health care [ 32 , 33 ]. They force participants to make trade-offs, identifying the importance of different service attributes [ 32 , 33 ]. Previous findings generated from DCE studies have been useful in informing service design and delivery, resource allocation, and policies, including the preferred design of IYS services [ 34 , 35 , 36 , 37 ].

Understanding service preferences from the perspective of Upcoming youth is critical for the development of interventions and policies that will help youth navigate the school-to-work transition. As such, the objective of the current study was to identify employment, education and training service preferences of Upcoming youth. As our approach to COVID-19-related impacts shifts, the need for this research is more urgent than ever, as a way to support vulnerable youth, reduce Upcoming status, prevent further exclusion, and help them on their path towards adulthood.

Discrete Choice Experiment (DCE)

A discrete choice experiment (DCE) methodology was used in this study, as described in the study protocol [ 13 ]. We followed the International Society for Pharmacoeconomics and Outcomes Research (ISPOR) guidelines on good research practices for conjoint analysis [ 38 ]. Attributes and levels were developed using the following methods. First, we reviewed the literature on relevant and preferred services for youth with Upcoming and at-risk Upcoming status [ 26 ]. An initial set of six attributes with three to four levels was developed from the literature review, highlighting components such as mental health, goals, and skills training. Second, focus groups were conducted among youth (16–29 years) with Upcoming and at-risk Upcoming status across Canada to obtain youth feedback on proposed service outcomes [ 39 ]. Thematic analysis [ 40 ] of the focus group data identified prominent attributes and levels, including skills training, mentorship, and networking. The project team included youth team members with lived/living experience of MHSU concerns and researchers; meetings were held with the team to refine the attributes and levels.

The list of attributes and levels were piloted among n  = 9 youth (16–29 years) across Canada. Pilot participants completed the DCE with a member of the project team. The aim of the pilot was to obtain youth feedback on the proposed list of attributes and levels, as well as the design and functionality of the DCE. Based on pilot feedback, a final list of attributes and levels was developed. The final DCE list included ten attributes, each with three levels. The attributes included mentorship; skills for school and job success; technical skills; life skills; basic income; networking opportunities; securing a work or educational placement; career counselling; access to free mental health and substance use services; and support for mental health and wellness in the workplace. Using a 3 × 3 partial-profile design, we used Sawtooth software (version 9.14.2) [ 41 ] to administer the 14 randomized choice tasks. This design was chosen to optimize orthogonality, minimize participant burden, and ensure data robustness [ 42 ]. Table 1 shows a sample choice task; Additional File 1 contains the full list of attributes and levels in the study.

Participants and procedure

The study was approved by the Centre for Addiction and Mental Health’s (CAMH) Research Ethics Board in Toronto, Canada. This study consisted of n  = 503 youth (14–29 years), recruited over a three-month period in late 2022 and early 2023. The sample size was based on a priori power calculations and exceeds the sample size of most DCE studies [ 13 ]. Study flyers with survey links were distributed through internal CAMH and external professional networks, as well as through social media (Facebook and Instagram).

Participants were eligible to complete the DCE if they were between the ages of 14 and 29 years; lived in Canada at the time of survey completion; and identified as Upcoming status or having ever been concerned of being at-risk of Upcoming status (self-identified). They were screened through an online survey sent via email, hosted on REDCap electronic software [ 43 ]. Participants gave informed consent and filled out anti-spam and eligibility questions. Those who were eligible were sent a link to complete the DCE through Sawtooth Software [ 41 ]. The survey was in English only. They also filled out self-report questionnaires on demographics, and mental health and substance use. Reminder emails to complete the survey were sent to participants once per week, with a maximum of three reminders sent. A total of n  = 515 participants initiated the survey and n  = 503 completed the survey, yielding a response rate of 97.7%. The median time to complete the DCE was 20.63 min. Participants received a $30 gift card as honorarium for survey completion.

Mental health and substance use measures

Participants completed the Global Appraisal of Individual Needs–Short Screener (GAIN-SS) (version 3) [ 44 ]. Internalizing disorders (depression, anxiety, somatic complaints, trauma etc.); externalizing disorders (hyperactivity, conduct problems, attention deficits, impulsivity etc.); and substance use disorders are domain subscales that are screened in the GAIN-SS [ 44 ]. The GAIN-SS also includes a crime/violence domain, however, low level of endorsement in this study precluded the inclusion of this subscale. Participants rated each administered symptom “never” to “within the past month”, indicating how recently they experienced symptom difficulties. Within each domain subscale, endorsed past month symptoms were counted and summed. Scores could range between 0–6, 0–7, and 0–5 for the Internalizing, Externalizing, and Substance Use Problems domain, respectively. Following previous literature, three or more items endorsed within the past month indicate a high likelihood of needing services and/or meeting threshold criteria for psychiatric diagnoses [ 44 , 45 ].

Demographic characteristics were collected. We included age (categorical measure), gender identity (man/boy [cis, trans]; woman/girl [cis, trans]; Gender diverse); ethnicity (White; Indigenous, Black, Asian, Mixed); region in Canada (Prairies, Western/Northern, Atlantic, Central); self-rated physical and mental health (good/very good/excellent; fair/poor) [ 46 ]; socioeconomic status (live comfortably; income meets needs with a little left; just meet basic expenses; don’t meet basic expenses); living arrangement (alone; with partner; with family; other); and area of residence (large city and suburbs of large city; small city, town, village or rural area).

Youth engagement

Following the McCain Model of Youth Engagement [ 47 ], and working with the Youth Engagement Initiative at the Margaret and Wallace McCain Centre for Child, Youth & Family Mental Health, we engaged youth throughout the study. To enhance study design, promote youth buy-in, and relevance of the study, youth were involved from project inception and implementation of study activities to interpretation of findings and manuscript development.

Statistical analysis

Statistical analyses were performed using Sawtooth Software version 9.14.2 [ 41 ] and Stata version 16.1 [ 48 ]. Descriptive statistics were calculated for all study variables overall and by latent-class grouping. Using hierarchical Bayesian methods within Sawtooth Software [ 41 ], utility estimates were calculated for each participant. Standardized zero-centered utilities were used and the average utility range of attribute levels was set to 100 (49) to calculate the estimates. Attributes with higher utility estimates indicated higher relative value compared with other attributes (Table 2 ).

To identify groups of participants with similar service preferences, we conducted latent class analyses [ 41 ]. To belong to a latent class, probabilities were assigned to each participant. Using different starting seeds, five replications for each latent class group was calculated, with log-likelihood decreases of 0.01 or less indicating convergence. Based on the analysis, we retained a three-class model. This model was determined by analyzing the Bayesian Information Criteria (BIC), Akaike Information Criteria (AIC), Consistent Akaike Information Criterion (CAIC), and Akaike’s Bayesian Information Criterion (ABIC); latent class sizes; and the interpretation of latent class groupings (Table 3. ). Team discussions with youth team members were held to review the importance scores and rankings and establish the names of the latent glass groupings (Table 4 ). Stata 16.1 [ 48 ] was used to compare latent classes on demographic characteristics and GAIN-SS scores using chi-square tests.

Table 5 presents participant demographic characteristics. The majority of participants were between 24 and 29 years of age; lived in urban areas; were engaged in employment and training only; and identified as White and girl/woman (Trans, cis). Almost two thirds of participants (65.79%) met threshold criteria for an internalizing disorder, followed by 36.62% with an externalizing disorder, and 8.65% with a substance use disorder.

Overall service preferences

The overall service preferences and importance scores of participants are presented in Table  2 . Participants positively endorsed services that promoted life skills, mentorship, basic income, and securing a work or educational placement. Participants were least likely to endorse technical skills. Within life skills services, youth positively endorsed services that included managing finances, taxes, and skills associated with self-care and cooking. The provision of a mentor who worked within the participant’s field of interest was preferred by all youth. Participants positively endorsed basic income until having secured employment that matched the basic income level. All youth preferred services that provided support to secure long-term job positions or school placements that aligned with their career interests or long-term goals.

Table 3. illustrates the fit indices of the latent class analysis. A three-class model was retained based on fit, size of latent class grouping, and interpretation of findings. Attribute importance scores and rankings are presented in Table  4 by latent class. There were some commonalities identified across the latent classes. All latent classes positively endorsed services that offered mentorship (mentors in their field of interest, with similar backgrounds, or peer mentors), basic income, and networking. Youth preferred the provision of a mentor with work experience in their field of interest. Participants also positively endorsed receiving basic income until 25 years of age (regardless of school or job status), or until they had found a job that matched the basic income level. In addition, all participants endorsed skills to network and opportunities to network in their area of interest.

Over 60% of participants from all of the latent classes reported fair/poor mental health. In addition, over 60% of participants in each latent class grouping met threshold criteria for an internalizing disorder, compared to the other GAIN-SS disorders. Furthermore, more participants identified as having lived in large cities/suburbs compared to small cities/towns in each latent class.

Latent Class 1: Job and educational services

The first latent class endorsed services that focused on education and long-term job services, focusing on a career trajectory ( n  = 204, 38.9%). Attributes that drove these decisions included career counselling and securing a work or educational placement. Youth positively endorsed career counselling that helped to figure out career goals, create a resume, and complete job applications. Further, youth positively endorsed receiving long-term job positions or school placements that align with their career interests and long-term goals, as opposed to temporary or any job position. Participants from this latent class (Table 6 ) were more likely to be 24–29 years of age compared to other ages. Approximately 22.06% of youth in this latent class identified as Upcoming.

Latent Class 2: Mental health and wellness services

The second latent class endorsed mental health and wellness services ( n  = 171, 34.9%). This latent class preferred that services offer support for mental health and wellness in the workplace and free mental health and substance use services. Specifically, participants positively endorsed the provision of on-site in-person, individual mental health and substance use services, as opposed to the provision of virtual or in-person group services. Further, youth positively endorsed ongoing access to a support worker to help in securing accommodations in the workplace, as opposed to learning how to advocate for oneself in workplace or support during job onboarding. Participants that endorsed this latent class (Table  5 ) tended to identify as Indigenous, Black, Asian, and Mixed; girl/woman (cis, trans); both student and employed; income met needs with a little left; and rated their physical health as good/excellent. Approximately 16.96% of youth in this latent class identified as Upcoming.

Latent Class 3: Holistic skills building services

Skills building was the focus of the third latent class ( n  = 128, 26.1%). Participants positively endorsed skills for school and job success, as well as life skills. Specifically, youth were interested in learning about how to organize time; prioritize tasks; identify problems and solutions; as well as professionalism, communication and relationship building. Youth were also interested in life skills that focused on learning about how to manage finances and taxes, as well as self-care and cooking. Participants in this latent class (Table  5 ) tended to identify as White; employed only; living in an urban area; and income that just met basic expenses. Approximately 15.63% of youth in this latent class identified as Upcoming.

To our knowledge, this study was the first to identify employment, education, and training service preferences among Upcoming youth and those at-risk of Upcoming status using discrete choice experiment methods. The findings indicate that overall, youth value services that enhance their ability to deal effectively with life demands; receive advice and guidance by a mentor; and obtain financial support through basic income. In examining youth participants by latent class, the findings indicate a need to create a service model that supports long-term school and job opportunities, holistic skills building, and mental health and wellness. Job and educational services prioritized long-term job and school placements, with career counselling. Mental health and wellness services endorsed free, easily accessible and in-person support services. Meanwhile, holistic skills building focused on problem solving, communication, relationship building, and organization of time, as well as building skills to help youth manage daily life.

Participants highly endorsed services that promote life skills, mentorship, and basic income. For life skills, participants valued skills that included managing finances, taxes, and skills like self-care or cooking. Participants may have valued this service attribute because life skills empower youth. These skills are positive behaviours that give youth the knowledge, values, attitudes, and abilities necessary to effectively meet and deal with everyday challenges [ 50 , 51 ]. Prior research has shown how these skills strengthen psychosocial competencies, promote health and social relationships, and protect against risk-taking behaviours [ 51 ].

For mentorship, participants valued having a mentor who has work experience in the field they are interested in. Prior research has shown the negative associations between unemployment, exclusion, and economic hardship among Upcoming youth [ 52 , 53 ]. Participants may have chosen this service attribute as mentoring is a key component of career development. Career mentoring provides opportunities for career exploration and strengthening decision-making within this domain [ 54 , 55 , 56 , 57 ]. Research has shown the benefits of mentorship. Mentors are a positive resource, providing support and guiding youth as they navigate and succeed in their careers [ 54 , 58 , 59 ].

Youth also prioritized receiving basic income until they secured employment that matches the basic income level. Empirical evidence has shown associations between income and youth mental health outcomes [ 60 , 61 , 62 ]. Indeed, Johnson et al. [ 63 ] [ 63 ] posit that a universal basic income can positively affect health through behaviour, resources, and stress. Defined as income support to populations with minimal or no conditions [ 64 ], prior research has shown the benefits of a basic income plan in terms of poverty reduction, improvements in physical and mental health, economic growth, and human capital gains [ 65 , 66 , 67 , 68 , 69 ]. In a qualitative study in England [ 70 ], youth (14–24 years) reported that a universal basic income plan would improve their mental health through financial security, agency, greater equality, and improvements in relationships.

Differences in service preferences were observed among youth subgroups based on the identified latent classes. Youth who identify as Indigenous, Black, Asian, and Mixed prioritized mental health and wellness services compared to youth who identify as White. Previous literature has showed that Indigenous , Black, and racialized youth have experience longer wait times and poorer quality of mental health care compared to their White counterparts [ 71 , 72 , 73 ]. Prior literature has described how MHSU systems often do not consider or address the discrimination, systemic racism, economic marginalization, and intergenerational traumas that Indigenous, Black, and racialized populations experience within and outside of the service system [ 74 , 75 ]. These negative experiences adversely affect their access to and quality of MHSU care, leading to inequities in MHSU outcomes. To ensure that mental health and substance use services are culturally responsive, safe, effective, and available to Indigenous, Black, and racialized youth, services should incorporate their perspectives into service design and delivery. The finding that youth 24–29 years of age endorsed job and educational services focused on long term career planning could be attributed to being more advanced in thinking about their careers and a desire to find a career as opposed to a job [ 57 , 76 , 77 ]. It could also be due to older youth experiencing poorer labour market conditions [ 19 , 78 , 79 ]. To improve long-term job opportunities for youth, Canada’s labour standards need to be updated, ensuring protection and benefits to informal and non-standard youth workers (17).

A critical component for education, employment, and training services is raising awareness about these services and their benefits among youth. A 2019 survey among NEET youth (16–29 years) in Canada showed that 54% reported a hard time finding information on the labour market services, while 42% said the information available on these services was not easy to understand [ 80 ]. One way to address this issue is by delivering services to Upcoming youth at the local, community level. In fact, as IYS strengthen education, employment and training services, these community-based services can support youth by connecting them with local job opportunities. IYS can also work with other public, private and community organizations to change local, fragmented school and work policies [ 19 ]. Another way to address this issue would be to provide access to this information at an earlier age, as shown in a parliamentary enquiry in Victoria, Australia in which career management was recommended for incorporation into primary school curriculum[ 81 ].

All three latent classes preferred services that provided mentorship, basic income, and networking opportunities. Youth value mentorship opportunities from individuals with experience in their field of interest. Similarly, youth prioritized networking opportunities in their field of interest. Federal, provincial/territorial and local programs could harness this preference by creating mentorship and networking structures across public, private, and community organizations for youth [ 17 ]. Further, the provision of basic income would help support youth as they re-engage with school and the labour market [ 17 ]. Interestingly, technical skills were not endorsed by youth in this study. Although technical skills are endorsed as part of technical and vocational education and training programs [ 82 ], it may be that youth were not as concerned about enhancing technical skills as they were other services. Future research should investigate youth experiences of technical skill programs.

It is important to note that participants in all latent classes endorsed poor mental health, while a higher proportion of youth screened positive for internalizing disorders compared to other disorders. These findings are in line with prior literature, particularly in light of the COVID-19 pandemic [ 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 ]. It could also reflect the positionality of the researchers. The survey was administered by CAMH, a mental health teaching hospital, and could have been seen more among youth connected with mental health services compared to those not connected to CAMH. Prior research has showed that life skills training can promote positive development, mental wellbeing, and prevent risky behaviours [ 92 , 93 ]. The prioritization of long-term school and job placements among youth with mental health concerns indicates a need to strengthen these services for this cohort.

In fact, in 2020 the Individual Placement and Support (IPS) model [ 94 , 95 ], which provides mental health service users with personalized vocational support alongside mental health support to obtain employment, education, and training opportunities was launched in Alberta, British Columbia, Nova Scotia, Ontario and Quebec to strengthen existing IYS, including ACCESS Open Minds, Foundry, and Youth Wellness Hubs Ontario [ 96 ]. The program was implemented in 12 hubs across the country and is currently being evaluated. Despite the challenges that have arisen over the course of the pandemic, COVID-19 has highlighted an opportunity to improve the education, employment and training support systems that serve these youth. Some of the core principles of implementation of the IPS model align with findings from the current study and include integration of mental health treatment teams, employment specialists to support young people as they navigate the labour market, rapid job search approaches, and tailored job supports, among other principles [ 94 ].

Indeed, in building on the services endorsed in this study, it would be important to incorporate an evaluation framework such as the Consolidated Framework for Implementation Research [ 97 ] to evaluate the effectiveness and impact of these services. Determining potential outcomes that could be measured would also be important. Following the IPS model, for job and educational placements, services could implement the Youth Employment and Education Survey [ 94 , 95 ]. Potential outcomes could include status of school or employment, job permanency, educational placement duration, and satisfaction with the program, among others. For mental health and wellness support services, outcomes could focus on the number of in-person visits, satisfaction with the services, and self-reported mental health, among others. For holistic services, potential outcomes could focus on reporting and monitoring self-reported goals for problem-solving and communication, among others. It would be important to continuously assess and match services to Upcoming youth preferences.

We would like to acknowledge some limitations. This study includes a non-randomized sample of youth across Canada. Our study included less than 20% of youth who identified as Upcoming, which limits our ability to generalize the findings to this population group. Further research is needed among youth who identify as Upcoming to determine if these education, employment, and training services represent their preferences. Further, youth without stable and consistent internet access would also have been missed. We were unable to recruit large populations of youth from specific Indigenous and racialized backgrounds, although these did account for nearly half the sample. These groups may have different needs and preferences. Future research should investigate their perspectives on employment, education, and training services. In addition to the structure of the DCE survey, along with following a rigorous process in the development of the attributes and levels, there could have been some youth service priorities not assessed. Furthermore, as some of the attributes and levels built on each other, these commonalities could have influenced preference elicitation for specific service attributes. We tried to ensure that the survey was youth-friendly for all youth, however due to the cognitive capacity required to complete the survey, some youth with greater mental health and learning challenges may have been missed.

This study identified employment, education, and training service preferences among Upcoming youth and those at-risk of Upcoming status in Canada. The findings indicate a need at the federal, provincial/territorial, and local level to create a service model that supports school and job opportunities long-term; mental health and wellness; and building holistic skills. The model also requires community-based and youth-centred approaches in the design and delivery of these services. Our findings further support the need for widespread policy support for broader-spectrum IYS for Upcoming youth and those at-risk of Upcoming status.

Availability of data and materials

No datasets were generated or analysed during the current study.

Abbreviations

Akaike’s Bayesian Information Criterion

Akaike Information Criterion

Bayesian Information Criteria

Consistent Akaike Information Criterion

Centre for Addiction and Mental Health

Coronavirus disease 2019

Discrete Choice Experiment

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Acknowledgements

We would like to thank the participants for their participation in this study. We would like to thank members of the Centre for Addiction and Mental Health’s Youth Engagement Initiative for their support of this study.

This research was funded by the Social Sciences and Humanities Research Council (SSHRC) (435–2019-0393).

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Srividya Iyer

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Matthew Prebeg

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MQD contributed to designing the research question and conducted the analysis, interpretation of the data, and drafted the manuscript. All authors read and approved the final manuscript. JLH contributed to designing the research, oversaw the conduct of the study, interpreted the data, reviewed the manuscript and provided study leadership; JLH is the overall guarantor of the work.

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Quinlan-Davidson, M., Dixon, M., Chinnery, G. et al. Youth not engaged in education, employment, or training: a discrete choice experiment of service preferences in Canada. BMC Public Health 24 , 1402 (2024). https://doi.org/10.1186/s12889-024-18877-0

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DOI : https://doi.org/10.1186/s12889-024-18877-0

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