interview questions for research

20 Most Common Research Scientist Interview Questions and Answers

Common Research Scientist interview questions, how to answer them, and sample answers from a certified career coach.

You’re ready to take the next step in your career and apply for a research scientist position. But first, you have to make it through the interview process.

Knowing what questions to expect ahead of time can help ease some of the anxiety that comes with interviewing. To get you started, here are some common research scientist interview questions—and tips on how to answer them.

• What experience do you have in designing and conducting experiments?
• Describe a research project that you are particularly proud of and explain why.
• How do you ensure the accuracy and reliability of your data?
• Explain how you use statistical analysis to interpret results from experiments.
• Are you familiar with any software programs used for data analysis?
• What strategies do you use to stay up-to-date on new developments in your field?
• How do you handle conflicting opinions or interpretations of data within a team?
• Describe a time when you had to troubleshoot an experiment that wasn’t producing expected results.
• What is your experience with writing scientific papers and presenting findings at conferences?
• How do you approach developing hypotheses and testing them through experimentation?
• What techniques do you use to identify potential sources of bias in experimental design?
• Do you have any experience working with interdisciplinary teams?
• How do you manage competing deadlines and prioritize tasks?
• What methods do you use to communicate complex scientific concepts to non-experts?
• How do you evaluate the ethical implications of your research?
• What strategies do you use to develop innovative solutions to challenging problems?
• Have you ever encountered unexpected results during an experiment? How did you respond?
• Describe a time when you had to collaborate with other researchers to achieve a common goal.
• What would you do if you encountered a problem that was outside of your area of expertise?
• How do you keep track of all the different elements involved in a research project?

1. What experience do you have in designing and conducting experiments?

Research scientists are the people who design and conduct experiments, analyze data, and draw conclusions from the results. It’s important to have experience in this area to make sure that the research is conducted properly and that the results are accurate. This question is also a way for the interviewer to assess your knowledge of the scientific method and how it’s used in research.

How to Answer:

In your answer, you should discuss any experience that you have in designing and conducting experiments. You can talk about the types of experiments you’ve conducted, such as laboratory experiments, field experiments, or surveys. Be sure to mention how you used the scientific method in each experiment, from developing a hypothesis to analyzing data. If you don’t have much direct experience, you can still talk about what you’ve learned about designing and conducting experiments through coursework or research projects.

Example: “I have experience in designing and conducting experiments from my work as a research assistant at XYZ University. I’ve conducted laboratory experiments, field experiments, and surveys to test hypotheses about different topics. In each experiment, I followed the scientific method by formulating a hypothesis, developing an experimental design, collecting data, analyzing it, and drawing conclusions. Additionally, I’ve studied the principles of experimental design in courses such as statistics and psychology. This has given me a strong foundation for understanding how to properly design and conduct experiments.”

2. Describe a research project that you are particularly proud of and explain why.

Research scientists need to be able to think critically and creatively when it comes to problem solving. This question gives the interviewer an opportunity to get a sense of your problem-solving skills and how you approach research. It also gives them insight into the results of your work and the value you can bring to the position.

To answer this question, you should discuss your experience with designing and conducting experiments. Explain the types of experiments you have conducted in the past and how you went about creating a hypothesis and testing it. Talk about the tools and methods you used to analyze data and draw conclusions. Be sure to mention any successes or challenges you faced during the process and how you overcame them. Finally, explain what you learned from these experiences and how they will help you succeed in the role you are applying for.

Example: “I’m particularly proud of a research project I completed last year on the effects of climate change on coral reefs. To conduct this research, I designed experiments to measure the changes in temperature and pH levels in different reef environments. I used sophisticated data analysis tools to analyze the results and draw conclusions about how these changes were impacting the health of the coral. Through this project, I learned a lot about the importance of collecting accurate data and using it to make informed decisions. This experience has helped me develop my problem-solving skills and will be invaluable as I continue to pursue research projects in the future.”

3. How do you ensure the accuracy and reliability of your data?

Research scientists must be able to trust the data they’re working with. Your interviewer will be looking for an understanding of the various methods and processes used to verify the accuracy and reliability of your data, and how you go about ensuring that you’re working with the best possible data to create meaningful results.

You should be prepared to discuss the methods you use to verify data accuracy and reliability. This could include double-checking your sources, running experiments multiple times to ensure consistent results, or using statistical tests to measure the validity of your findings. You should also emphasize any processes you have in place to monitor the quality of the data over time, such as regular reviews or audits. Finally, show that you understand the importance of data integrity by mentioning the potential consequences of inaccurate data.

Example: “I take data accuracy and reliability very seriously. I always double-check my sources to make sure they’re reputable and up-to-date, and I use statistical tests to measure the validity of my findings. I also have a process in place for regular audits and reviews of the data to make sure it remains accurate over time. Most importantly, I understand that inaccurate data can lead to faulty conclusions, which could negatively affect both our research results and reputation. That’s why I’m committed to ensuring that all data is as reliable and accurate as possible.”

4. Explain how you use statistical analysis to interpret results from experiments.

Research scientists are expected to be able to draw meaningful conclusions from the data they collect. This question is designed to determine if you know how to use statistical analysis to make sense of the results you collect. The interviewer wants to know that you can interpret the data and use it to make decisions and draw conclusions.

To answer this question, you should explain how you use statistical analysis to interpret the results from experiments. Talk about what type of statistical tests you use and when you use them. Also discuss any special techniques or software that you use for data analysis. Finally, talk about how you use the results of your analysis to make decisions and draw meaningful conclusions.

Example: “I use a variety of statistical tests and software to interpret the results from experiments. My most commonly used test is ANOVA, which I use to compare differences between two or more groups of data. I also use regression analysis to identify relationships between variables, as well as chi-square tests to determine if there are any significant associations between different factors. In addition, I am proficient in using SPSS for both descriptive and inferential statistics. With all this data, I’m able to draw meaningful conclusions about my findings and make informed decisions based on the results.”

5. Are you familiar with any software programs used for data analysis?

Research scientists rely heavily on data analysis to inform their research and draw conclusions. This means they must be familiar with a variety of software programs that can help them analyze the data they’ve collected. If the position requires a specific software program, the interviewer may ask this question to ensure that you’re familiar with it and can use it effectively.

Before the interview, research which software programs are commonly used for data analysis in your field. Make sure you’re familiar with these programs and can explain how to use them. During the interview, provide specific examples of when you have used a particular program or software suite. If possible, mention any experience you have using the specific software that the company uses. Finally, be sure to emphasize your ability to quickly learn new software if necessary.

Example: “I’m very familiar with software programs used for data analysis. I have extensive experience using SPSS and SAS, which are both common statistical software packages. In my current role as a research scientist at XYZ Research Institute, I often use R to analyze large datasets. I also have some experience with MATLAB, and am confident that I could quickly learn any new software programs necessary for the position.”

6. What strategies do you use to stay up-to-date on new developments in your field?

Research scientists need to stay on top of the latest developments in their field. You need to demonstrate that you can use a variety of methods to stay informed, such as reading scientific journals, attending conferences, and networking with other researchers. This shows that you have the initiative to stay current and can think critically about how to apply new developments to your work.

Talk about the strategies you use to stay informed. For example, do you read scientific journals? Do you attend conferences and seminars? Do you network with other researchers in your field? You can also talk about how you apply this knowledge to your work. Talk about how you use new developments to inform your research or develop new methods for conducting experiments.

Example: “I stay up-to-date on new developments in my field by reading scientific journals and attending conferences, seminars, and networking events. I also use online resources to keep abreast of the latest research and findings. For example, I’m a member of several professional organizations that share information about new discoveries and advancements in our field. With this knowledge, I’m able to apply current research to my own work and develop innovative methods for conducting experiments.”

7. How do you handle conflicting opinions or interpretations of data within a team?

Research scientists often work in teams, and it’s important to know how you’d handle differences in opinion or interpretation of data. The interviewer wants to know if you can be flexible and open to new ideas, or if you’re more likely to stick to your own views and interpretations. They’ll also want to know if you can work collaboratively with other researchers, and if you’re able to come up with creative solutions to complex problems.

To answer this question, you should explain how you’d approach a situation in which opinions or interpretations of data conflict. You could talk about the importance of open dialogue and collaboration between team members, and how you would facilitate such conversations. You can also discuss your ability to be flexible and consider different perspectives, as well as your willingness to work together with other researchers to come up with creative solutions that everyone is happy with.

Example: “I believe that when it comes to conflicting opinions or interpretations of data, the most important thing is to be open to dialogue and discussion. I understand that everyone has their own perspective and experiences with a particular problem, so I always try to create an environment where team members can express those views without fear of judgment. This helps us gain different insights into the issue at hand and encourages creative solutions. I’m also comfortable taking a step back and looking at the bigger picture to ensure we’re all on the same page—and if not, I’m confident in my ability to work collaboratively with other researchers to come up with a solution that works for everyone.”

8. Describe a time when you had to troubleshoot an experiment that wasn’t producing expected results.

Research scientists need to have the skills to troubleshoot experiments that don’t turn out as expected. This could mean analyzing data to identify possible sources of error, coming up with alternative hypotheses and testing strategies, or reaching out to colleagues for advice. This question will help the interviewer understand how you approach problem-solving, your resourcefulness in difficult situations, and your ability to think critically and come up with creative solutions.

To answer this question, you should provide a specific example of when you had to troubleshoot an experiment. Describe the steps you took to identify and address the problem, what resources you used (e.g., colleagues, literature, etc.), and how you ultimately solved the issue. If possible, describe the results of your efforts and any lessons learned that you can apply to future experiments.

Example: “I recently had to troubleshoot a project that wasn’t producing the expected results. I first identified the possible sources of error by analyzing the data and examining the experimental procedure. Then, I reached out to a colleague who had experience with similar experiments and asked for her advice. Based on her feedback, I adjusted the experimental parameters and re-ran the experiment. The results were much closer to the expected outcome, and I was able to identify several key factors that had been overlooked in the initial setup. This experience taught me the importance of asking for help when needed and being willing to adjust the parameters of an experiment if necessary.”

9. What is your experience with writing scientific papers and presenting findings at conferences?

Scientific research is an ongoing process of experimentation, data collection, and analysis. It is also a field that is highly collaborative and results-driven, which means that research scientists need to be able to communicate their findings in order to be successful. This question is designed to assess your ability to communicate your findings in both written and verbal formats.

Be sure to provide concrete examples of your experience in writing scientific papers and presenting findings at conferences. If you have published any papers, be sure to mention this as it shows that your work is highly regarded by the scientific community. Additionally, if you have ever presented your research at a conference or symposium, talk about what you learned from the experience and how it helped you grow as a researcher. Finally, highlight any awards or recognitions you may have received for your work.

Example: “I have extensive experience in writing scientific papers and presenting findings at conferences. I have published several papers in peer-reviewed journals, and I have presented findings at numerous conferences, symposiums, and other events. I have also received awards for my research, including a prize for best paper presented at a major international conference. Presenting my research to an audience is something I really enjoy, as it allows me to share my findings with a larger audience and receive feedback from other researchers and professionals in the field.”

10. How do you approach developing hypotheses and testing them through experimentation?

The scientific method is the basis of any scientific research and understanding how you approach it is key to know whether you’ll be successful in this role. The interviewer will want to know that you’re able to develop hypotheses, use the right tools to test them, and draw meaningful conclusions from the results. They’ll also want to make sure you have the critical thinking skills to work through complex problems and the creativity to come up with innovative solutions.

This question is designed to assess your ability to think critically, develop hypotheses and test them through experimentation. To answer this question, you should explain the steps you take when approaching a problem. For example, you could discuss how you brainstorm potential solutions, evaluate each solution’s feasibility, create an experiment plan, execute experiments, analyze data, draw conclusions from the results, and present those findings. You should also emphasize any experience you have with designing experiments, collecting data, and analyzing the results of your experiments.

Example: “When I approach developing hypotheses and testing them through experimentation, I start by brainstorming potential solutions and evaluating each solution’s feasibility. Then, I create an experiment plan and execute the experiments. After that, I analyze the data, draw conclusions from the results, and present those findings. I have extensive experience designing experiments, collecting data, and analyzing the results of my experiments. I am confident in my ability to use the scientific method to evaluate hypotheses and draw meaningful conclusions from the results.”

11. What techniques do you use to identify potential sources of bias in experimental design?

Researchers must have an understanding of the potential sources of bias that could affect their experiment, and the ability to identify them quickly. By asking this question, the interviewer wants to know that the candidate can identify potential sources of bias and has the experience to design experiments that will minimize the risk of bias.

To answer this question, you should discuss the techniques that you use to identify potential sources of bias in experimental design. Common techniques include conducting a literature review and using statistical tests such as ANOVA or chi-squared tests. You can also mention methods such as blinding, randomization, and replication. Additionally, you should explain how these techniques help minimize the risk of bias in your experiments.

Example: “I use several different techniques to identify potential sources of bias in experimental design. I always begin by conducting a thorough literature review to understand the existing research in the field and identify potential sources of bias. Additionally, I use statistical tests such as ANOVA or chi-squared tests to assess the effects of certain variables. I also make sure to use techniques such as blinding, randomization, and replication to minimize the risk of bias in my experiments. By using these techniques, I can ensure that my research is accurate and reliable.”

12. Do you have any experience working with interdisciplinary teams?

Research scientists often have to collaborate with other scientists and researchers in various fields. This means that being able to work with people from different backgrounds and share ideas and opinions is essential. By asking this question, the interviewer is looking to see if you have the interpersonal skills needed to work with a diverse group of people, as well as the ability to think critically and come up with creative solutions.

To answer this question, you should provide an example of a team project you worked on and how you contributed to its success. Talk about the different backgrounds of the people on the team and how you were able to collaborate with them to reach a successful outcome. You can also discuss any challenges you faced while working in a multidisciplinary setting, as well as what you learned from the experience.

Example: “I recently worked on a project with a team of researchers from different disciplines, including biology, chemistry, and physics. We were tasked with developing a new drug to treat a specific condition. Working with this interdisciplinary team was a great learning experience for me. I was able to gain insight into different scientific perspectives and approaches, which allowed us to come up with a more creative and effective solution. I also learned the importance of communication and collaboration in a multidisciplinary setting, and how to effectively work with people from different backgrounds to reach our goal.”

13. How do you manage competing deadlines and prioritize tasks?

Research scientists often have to juggle multiple projects at once and manage competing goals and deadlines. An interviewer will want to know that you can not only handle the workload, but also prioritize tasks and manage your time efficiently. They’ll also be looking for evidence that you can stay organized and on top of your projects to ensure that you can complete them on time.

To answer this question, you should provide examples of how you have managed competing deadlines and tasks in the past. Talk about your strategies for staying organized and prioritizing tasks, such as creating to-do lists or using project management tools. You can also explain how you keep track of deadlines and manage your time efficiently by breaking down large tasks into smaller ones and setting daily goals. Be sure to emphasize any successes you’ve had with managing multiple projects at once.

Example: “I have a lot of experience managing competing deadlines and tasks. I start by breaking down larger projects into smaller, more manageable tasks and assigning each task a priority level. I use project management tools to help me stay organized and on track, and I set daily goals to make sure I’m always making progress. I also make sure to communicate regularly with my team and stakeholders to ensure that everyone is aware of the timeline and priorities. This has enabled me to successfully manage multiple projects at once and meet tight deadlines.”

14. What methods do you use to communicate complex scientific concepts to non-experts?

Being a research scientist isn’t just about doing experiments and collecting data. You’ll also need to be able to explain your findings to non-experts in a way that’s understandable, engaging, and actionable. This question helps interviewers see how you can take complex concepts and break them down into something accessible to a general audience. They’ll want to know that you can communicate your work in an effective and efficient way.

To answer this question, you should focus on the methods that have worked for you in the past. You can talk about how you use visuals (e.g., charts, graphs, diagrams) to explain complex concepts; how you break down information into smaller digestible pieces; and how you create stories or analogies to make abstract ideas easier to understand. You can also mention any public speaking engagements you’ve done as a research scientist, such as presenting at conferences or giving lectures.

Example: “I’ve found that visuals are one of the best ways to communicate complex scientific concepts to non-experts. I’ll often use charts and diagrams to illustrate my points, as well as create stories or analogies to make the information more accessible. I also like to break down complex topics into smaller, more digestible pieces to make it easier for people to understand. I’ve presented my research at numerous conferences and have had to adjust my approach based on the audience, so I’m comfortable communicating scientific concepts to a wide range of people.”

15. How do you evaluate the ethical implications of your research?

Working in a scientific field often means dealing with sensitive information or data that could be misused or misinterpreted. It’s important for interviewers to know that you’re aware of the ethical implications of your research and that you take the necessary steps to ensure that your data is secure and used responsibly.

Start by discussing the steps you take to evaluate the ethical implications of your research. This could include conducting a risk assessment, consulting with an ethics committee or advisor, and ensuring that all data is stored securely. Talk about any specific protocols or processes you have in place for evaluating the ethical implications of your research. Finally, mention any experiences you have had dealing with ethical issues related to research, such as working with vulnerable populations or handling confidential information.

Example: “I always take the necessary steps to evaluate the ethical implications of my research. I start by conducting a risk assessment to identify any potential issues and then consulting with an ethics committee or advisor to discuss the best course of action. I also take steps to ensure that all data is stored securely and that appropriate protocols are in place to protect the privacy of those involved in the research. In the past, I have had to work with vulnerable populations, so I am well-versed in the ethical considerations that come with such research and have experience implementing protocols to ensure that their privacy is respected.”

16. What strategies do you use to develop innovative solutions to challenging problems?

Research scientists are expected to think outside the box to create solutions to complex problems. This question gives the interviewer insight into how you approach difficult tasks and how you use data and research to develop solutions. It allows them to understand how you approach your work and how you think through problems.

To answer this question, you should explain the process you use to develop innovative solutions. This might include describing how you brainstorm ideas and weigh different options, how you research potential solutions and evaluate their effectiveness, or how you collaborate with colleagues to come up with creative solutions. You should also provide an example of a time when you used these strategies to solve a challenging problem.

Example: “I approach challenging problems by first doing research to understand the underlying cause of the issue. I then use brainstorming techniques to generate potential solutions and evaluate their feasibility. I also collaborate with other researchers and colleagues to get their input and ideas. For example, when I was faced with a difficult problem in developing a new drug delivery system, I first researched the current methods and technologies available. After brainstorming with the team and evaluating the potential solutions, we were able to develop a novel drug delivery system that was more efficient and cost-effective than existing methods.”

17. Have you ever encountered unexpected results during an experiment? How did you respond?

Research scientists are expected to be able to think on their feet when the data they collect doesn’t quite match the hypothesis they’re testing. This question is a chance for the interviewer to see if you’re able to adjust your approach on the fly and be open to new ideas and solutions.

Talk about a time when you encountered unexpected results during an experiment and how you responded. Be sure to explain the steps you took to investigate why your results were different than expected, such as running additional tests or consulting with colleagues. Show that you’re able to think critically and come up with creative solutions. Explain what you learned from this experience and how it has shaped your approach to future experiments.

Example: “In my most recent research project, I was studying the effects of a certain pesticide on a species of plant. I was expecting the plants to die off after exposure to the pesticide, but to my surprise, the plants actually began to thrive. I took this unexpected result as an opportunity to dig deeper and investigate why this might be. I ran additional tests and spoke with colleagues in related fields to gain more insight. Through this process, I discovered that the pesticide was actually providing the plants with much-needed nutrients, which explained why they were thriving. This experience taught me the importance of being open to unexpected results and using them as an opportunity to explore further and gain a deeper understanding of the topic at hand.”

18. Describe a time when you had to collaborate with other researchers to achieve a common goal.

Research is a team effort, and as a research scientist, you need to be able to work with others to achieve your goals. This question is designed to get an idea of how well you are able to collaborate with colleagues and how you handle challenges that may arise when working with a team.

You should be prepared to provide a specific example of a time when you had to collaborate with other researchers to achieve a common goal. Describe the project, your role in it, and how you worked with others to accomplish the task. Talk about any challenges that arose during the process and how you overcame them. Finally, discuss what you learned from the experience and how it has helped shape your approach to collaboration today.

Example: “I recently collaborated with a team of researchers to develop a new method of measuring the effects of climate change on coral reefs. My role was to help design and implement a data collection system that could accurately measure the changes in the coral reef over time. I worked closely with the other researchers to ensure that our data was accurate and that we were following the correct protocols. We encountered some challenges along the way, such as having to adjust our protocols and data collection methods as new information became available, but we were able to work together and come up with solutions. This experience taught me the importance of effective collaboration and how to work through challenges to achieve a common goal.”

19. What would you do if you encountered a problem that was outside of your area of expertise?

Research scientists are expected to be able to identify and solve problems that emerge in their work, and it’s important for the interviewer to know that the candidate can handle a situation if they come across something that is outside of their area of expertise. This question is designed to find out how the candidate would approach a difficult problem and how they would frame their research to come up with a solution.

The best way to answer this question is to explain the steps you would take to research and solve the problem. Start by talking about how you would identify the issue, then explain how you would use resources such as journals, books, or online databases to find out more information about it. Finally, discuss how you would apply your knowledge to come up with a solution. Be sure to emphasize that you are comfortable working outside of your comfort zone and that you enjoy learning new things.

Example: “If I encountered a problem that was outside of my area of expertise, I would first take the time to research the issue and gain an understanding of the underlying concepts. I would use resources such as academic journals, books, and online databases to build my knowledge base. I would also reach out to colleagues who might have experience with the issue or be familiar with relevant studies. Finally, I would use the information I gathered to develop a solution to the problem. I’m comfortable working outside of my comfort zone and I enjoy learning new things, so I’m confident that I could find a solution to any problem I may face.”

20. How do you keep track of all the different elements involved in a research project?

Research projects can be incredibly complex and require a great deal of organization and attention to detail. An interviewer will want to know how you keep track of all the different elements of a project and how you’re able to ensure that everything gets done in a timely and organized manner. This question can also be used to gauge how well you can handle multiple tasks and prioritize them efficiently.

To answer this question, you should explain the methods and tools that you use to stay organized. For example, you could mention using a project management system such as Trello or Asana, or keeping lists in a spreadsheet program like Excel or Google Sheets. You may also want to discuss how you break down projects into smaller tasks and prioritize them accordingly. Additionally, it’s important to emphasize your ability to be flexible and adjust plans when needed.

Example: “I’m very organized and I use a combination of tools to keep track of my research projects. I use a project management system like Asana to break down my projects into smaller tasks and prioritize them according to deadlines. I also keep a spreadsheet of all the elements involved in the project, including timelines, tasks, and any materials I need to collect. I find that having a visual representation of the project helps me stay on track and makes it easier to adjust my plans when needed.”

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Qualitative Research 101: Interviewing

5 Common Mistakes To Avoid When Undertaking Interviews

By: David Phair (PhD) and Kerryn Warren (PhD) | March 2022

Undertaking interviews is potentially the most important step in the qualitative research process. If you don’t collect useful, useable data in your interviews, you’ll struggle through the rest of your dissertation or thesis.  Having helped numerous students with their research over the years, we’ve noticed some common interviewing mistakes that first-time researchers make. In this post, we’ll discuss five costly interview-related mistakes and outline useful strategies to avoid making these.

Overview: 5 Interviewing Mistakes

• Not having a clear interview strategy /plan
• Not having good interview techniques /skills
• Not securing a suitable location and equipment
• Not having a basic risk management plan
• Not keeping your “ golden thread ” front of mind

1. Not having a clear interview strategy

The first common mistake that we’ll look at is that of starting the interviewing process without having first come up with a clear interview strategy or plan of action. While it’s natural to be keen to get started engaging with your interviewees, a lack of planning can result in a mess of data and inconsistency between interviews.

There are several design choices to decide on and plan for before you start interviewing anyone. Some of the most important questions you need to ask yourself before conducting interviews include:

• What are the guiding research aims and research questions of my study?
• Will I use a structured, semi-structured or unstructured interview approach?
• How will I record the interviews (audio or video)?
• Who will be interviewed and by whom ?
• What ethics and data law considerations do I need to adhere to?
• How will I analyze my data? 

Let’s take a quick look at some of these.

The core objective of the interviewing process is to generate useful data that will help you address your overall research aims. Therefore, your interviews need to be conducted in a way that directly links to your research aims, objectives and research questions (i.e. your “golden thread”). This means that you need to carefully consider the questions you’ll ask to ensure that they align with and feed into your golden thread. If any question doesn’t align with this, you may want to consider scrapping it.

Another important design choice is whether you’ll use an unstructured, semi-structured or structured interview approach . For semi-structured interviews, you will have a list of questions that you plan to ask and these questions will be open-ended in nature. You’ll also allow the discussion to digress from the core question set if something interesting comes up. This means that the type of information generated might differ a fair amount between interviews.

Contrasted to this, a structured approach to interviews is more rigid, where a specific set of closed questions is developed and asked for each interviewee in exactly the same order. Closed questions have a limited set of answers, that are often single-word answers. Therefore, you need to think about what you’re trying to achieve with your research project (i.e. your research aims) and decided on which approach would be best suited in your case.

It is also important to plan ahead with regards to who will be interviewed and how. You need to think about how you will approach the possible interviewees to get their cooperation, who will conduct the interviews, when to conduct the interviews and how to record the interviews. For each of these decisions, it’s also essential to make sure that all ethical considerations and data protection laws are taken into account.

Finally, you should think through how you plan to analyze the data (i.e., your qualitative analysis method) generated by the interviews. Different types of analysis rely on different types of data, so you need to ensure you’re asking the right types of questions and correctly guiding your respondents.

Simply put, you need to have a plan of action regarding the specifics of your interview approach before you start collecting data. If not, you’ll end up drifting in your approach from interview to interview, which will result in inconsistent, unusable data.

2. Not having good interview technique

While you’re generally not expected to become you to be an expert interviewer for a dissertation or thesis, it is important to practice good interview technique and develop basic interviewing skills .

Let’s go through some basics that will help the process along.

Firstly, before the interview , make sure you know your interview questions well and have a clear idea of what you want from the interview. Naturally, the specificity of your questions will depend on whether you’re taking a structured, semi-structured or unstructured approach, but you still need a consistent starting point . Ideally, you should develop an interview guide beforehand (more on this later) that details your core question and links these to the research aims, objectives and research questions.

Before you undertake any interviews, it’s a good idea to do a few mock interviews with friends or family members. This will help you get comfortable with the interviewer role, prepare for potentially unexpected answers and give you a good idea of how long the interview will take to conduct. In the interviewing process, you’re likely to encounter two kinds of challenging interviewees ; the two-word respondent and the respondent who meanders and babbles. Therefore, you should prepare yourself for both and come up with a plan to respond to each in a way that will allow the interview to continue productively.

To begin the formal interview , provide the person you are interviewing with an overview of your research. This will help to calm their nerves (and yours) and contextualize the interaction. Ultimately, you want the interviewee to feel comfortable and be willing to be open and honest with you, so it’s useful to start in a more casual, relaxed fashion and allow them to ask any questions they may have. From there, you can ease them into the rest of the questions.

As the interview progresses , avoid asking leading questions (i.e., questions that assume something about the interviewee or their response). Make sure that you speak clearly and slowly , using plain language and being ready to paraphrase questions if the person you are interviewing misunderstands. Be particularly careful with interviewing English second language speakers to ensure that you’re both on the same page.

Engage with the interviewee by listening to them carefully and acknowledging that you are listening to them by smiling or nodding. Show them that you’re interested in what they’re saying and thank them for their openness as appropriate. This will also encourage your interviewee to respond openly.

Need a helping hand?

3. Not securing a suitable location and quality equipment

Where you conduct your interviews and the equipment you use to record them both play an important role in how the process unfolds. Therefore, you need to think carefully about each of these variables before you start interviewing.

Poor location: A bad location can result in the quality of your interviews being compromised, interrupted, or cancelled. If you are conducting physical interviews, you’ll need a location that is quiet, safe, and welcoming . It’s very important that your location of choice is not prone to interruptions (the workplace office is generally problematic, for example) and has suitable facilities (such as water, a bathroom, and snacks).

If you are conducting online interviews , you need to consider a few other factors. Importantly, you need to make sure that both you and your respondent have access to a good, stable internet connection and electricity. Always check before the time that both of you know how to use the relevant software and it’s accessible (sometimes meeting platforms are blocked by workplace policies or firewalls). It’s also good to have alternatives in place (such as WhatsApp, Zoom, or Teams) to cater for these types of issues.

Poor equipment: Using poor-quality recording equipment or using equipment incorrectly means that you will have trouble transcribing, coding, and analyzing your interviews. This can be a major issue , as some of your interview data may go completely to waste if not recorded well. So, make sure that you use good-quality recording equipment and that you know how to use it correctly.

To avoid issues, you should always conduct test recordings before every interview to ensure that you can use the relevant equipment properly. It’s also a good idea to spot check each recording afterwards, just to make sure it was recorded as planned. If your equipment uses batteries, be sure to always carry a spare set.

4. Not having a basic risk management plan

Many possible issues can arise during the interview process. Not planning for these issues can mean that you are left with compromised data that might not be useful to you. Therefore, it’s important to map out some sort of risk management plan ahead of time, considering the potential risks, how you’ll minimize their probability and how you’ll manage them if they materialize.

Common potential issues related to the actual interview include cancellations (people pulling out), delays (such as getting stuck in traffic), language and accent differences (especially in the case of poor internet connections), issues with internet connections and power supply. Other issues can also occur in the interview itself. For example, the interviewee could drift off-topic, or you might encounter an interviewee who does not say much at all.

You can prepare for these potential issues by considering possible worst-case scenarios and preparing a response for each scenario. For instance, it is important to plan a backup date just in case your interviewee cannot make it to the first meeting you scheduled with them. It’s also a good idea to factor in a 30-minute gap between your interviews for the instances where someone might be late, or an interview runs overtime for other reasons. Make sure that you also plan backup questions that could be used to bring a respondent back on topic if they start rambling, or questions to encourage those who are saying too little.

In general, it’s best practice to plan to conduct more interviews than you think you need (this is called oversampling ). Doing so will allow you some room for error if there are interviews that don’t go as planned, or if some interviewees withdraw. If you need 10 interviews, it is a good idea to plan for 15. Likely, a few will cancel , delay, or not produce useful data.

5. Not keeping your golden thread front of mind

We touched on this a little earlier, but it is a key point that should be central to your entire research process. You don’t want to end up with pages and pages of data after conducting your interviews and realize that it is not useful to your research aims . Your research aims, objectives and research questions – i.e., your golden thread – should influence every design decision and should guide the interview process at all times. 

A useful way to avoid this mistake is by developing an interview guide before you begin interviewing your respondents. An interview guide is a document that contains all of your questions with notes on how each of the interview questions is linked to the research question(s) of your study. You can also include your research aims and objectives here for a more comprehensive linkage. 

You can easily create an interview guide by drawing up a table with one column containing your core interview questions . Then add another column with your research questions , another with expectations that you may have in light of the relevant literature and another with backup or follow-up questions . As mentioned, you can also bring in your research aims and objectives to help you connect them all together. If you’d like, you can download a copy of our free interview guide here .

Recap: Qualitative Interview Mistakes

In this post, we’ve discussed 5 common costly mistakes that are easy to make in the process of planning and conducting qualitative interviews.

To recap, these include:

If you have any questions about these interviewing mistakes, drop a comment below. Alternatively, if you’re interested in getting 1-on-1 help with your thesis or dissertation , check out our dissertation coaching service or book a free initial consultation with one of our friendly Grad Coaches.

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