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Research Process – Steps, Examples and Tips

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Research Process

Definition:

Research Process is a systematic and structured approach that involves the collection, analysis, and interpretation of data or information to answer a specific research question or solve a particular problem.

Research Process Steps

Research Process Steps are as follows:

Identify the Research Question or Problem

This is the first step in the research process. It involves identifying a problem or question that needs to be addressed. The research question should be specific, relevant, and focused on a particular area of interest.

Conduct a Literature Review

Once the research question has been identified, the next step is to conduct a literature review. This involves reviewing existing research and literature on the topic to identify any gaps in knowledge or areas where further research is needed. A literature review helps to provide a theoretical framework for the research and also ensures that the research is not duplicating previous work.

Formulate a Hypothesis or Research Objectives

Based on the research question and literature review, the researcher can formulate a hypothesis or research objectives. A hypothesis is a statement that can be tested to determine its validity, while research objectives are specific goals that the researcher aims to achieve through the research.

Design a Research Plan and Methodology

This step involves designing a research plan and methodology that will enable the researcher to collect and analyze data to test the hypothesis or achieve the research objectives. The research plan should include details on the sample size, data collection methods, and data analysis techniques that will be used.

Collect and Analyze Data

This step involves collecting and analyzing data according to the research plan and methodology. Data can be collected through various methods, including surveys, interviews, observations, or experiments. The data analysis process involves cleaning and organizing the data, applying statistical and analytical techniques to the data, and interpreting the results.

Interpret the Findings and Draw Conclusions

After analyzing the data, the researcher must interpret the findings and draw conclusions. This involves assessing the validity and reliability of the results and determining whether the hypothesis was supported or not. The researcher must also consider any limitations of the research and discuss the implications of the findings.

Communicate the Results

Finally, the researcher must communicate the results of the research through a research report, presentation, or publication. The research report should provide a detailed account of the research process, including the research question, literature review, research methodology, data analysis, findings, and conclusions. The report should also include recommendations for further research in the area.

Review and Revise

The research process is an iterative one, and it is important to review and revise the research plan and methodology as necessary. Researchers should assess the quality of their data and methods, reflect on their findings, and consider areas for improvement.

Ethical Considerations

Throughout the research process, ethical considerations must be taken into account. This includes ensuring that the research design protects the welfare of research participants, obtaining informed consent, maintaining confidentiality and privacy, and avoiding any potential harm to participants or their communities.

Dissemination and Application

The final step in the research process is to disseminate the findings and apply the research to real-world settings. Researchers can share their findings through academic publications, presentations at conferences, or media coverage. The research can be used to inform policy decisions, develop interventions, or improve practice in the relevant field.

Research Process Example

Following is a Research Process Example:

Research Question : What are the effects of a plant-based diet on athletic performance in high school athletes?

Step 1: Background Research Conduct a literature review to gain a better understanding of the existing research on the topic. Read academic articles and research studies related to plant-based diets, athletic performance, and high school athletes.

Step 2: Develop a Hypothesis Based on the literature review, develop a hypothesis that a plant-based diet positively affects athletic performance in high school athletes.

Step 3: Design the Study Design a study to test the hypothesis. Decide on the study population, sample size, and research methods. For this study, you could use a survey to collect data on dietary habits and athletic performance from a sample of high school athletes who follow a plant-based diet and a sample of high school athletes who do not follow a plant-based diet.

Step 4: Collect Data Distribute the survey to the selected sample and collect data on dietary habits and athletic performance.

Step 5: Analyze Data Use statistical analysis to compare the data from the two samples and determine if there is a significant difference in athletic performance between those who follow a plant-based diet and those who do not.

Step 6 : Interpret Results Interpret the results of the analysis in the context of the research question and hypothesis. Discuss any limitations or potential biases in the study design.

Step 7: Draw Conclusions Based on the results, draw conclusions about whether a plant-based diet has a significant effect on athletic performance in high school athletes. If the hypothesis is supported by the data, discuss potential implications and future research directions.

Step 8: Communicate Findings Communicate the findings of the study in a clear and concise manner. Use appropriate language, visuals, and formats to ensure that the findings are understood and valued.

Applications of Research Process

The research process has numerous applications across a wide range of fields and industries. Some examples of applications of the research process include:

• Scientific research: The research process is widely used in scientific research to investigate phenomena in the natural world and develop new theories or technologies. This includes fields such as biology, chemistry, physics, and environmental science.
• Social sciences : The research process is commonly used in social sciences to study human behavior, social structures, and institutions. This includes fields such as sociology, psychology, anthropology, and economics.
• Education: The research process is used in education to study learning processes, curriculum design, and teaching methodologies. This includes research on student achievement, teacher effectiveness, and educational policy.
• Healthcare: The research process is used in healthcare to investigate medical conditions, develop new treatments, and evaluate healthcare interventions. This includes fields such as medicine, nursing, and public health.
• Business and industry : The research process is used in business and industry to study consumer behavior, market trends, and develop new products or services. This includes market research, product development, and customer satisfaction research.
• Government and policy : The research process is used in government and policy to evaluate the effectiveness of policies and programs, and to inform policy decisions. This includes research on social welfare, crime prevention, and environmental policy.

Purpose of Research Process

The purpose of the research process is to systematically and scientifically investigate a problem or question in order to generate new knowledge or solve a problem. The research process enables researchers to:

• Identify gaps in existing knowledge: By conducting a thorough literature review, researchers can identify gaps in existing knowledge and develop research questions that address these gaps.
• Collect and analyze data : The research process provides a structured approach to collecting and analyzing data. Researchers can use a variety of research methods, including surveys, experiments, and interviews, to collect data that is valid and reliable.
• Test hypotheses : The research process allows researchers to test hypotheses and make evidence-based conclusions. Through the systematic analysis of data, researchers can draw conclusions about the relationships between variables and develop new theories or models.
• Solve problems: The research process can be used to solve practical problems and improve real-world outcomes. For example, researchers can develop interventions to address health or social problems, evaluate the effectiveness of policies or programs, and improve organizational processes.
• Generate new knowledge : The research process is a key way to generate new knowledge and advance understanding in a given field. By conducting rigorous and well-designed research, researchers can make significant contributions to their field and help to shape future research.

Tips for Research Process

Here are some tips for the research process:

• Start with a clear research question : A well-defined research question is the foundation of a successful research project. It should be specific, relevant, and achievable within the given time frame and resources.
• Conduct a thorough literature review: A comprehensive literature review will help you to identify gaps in existing knowledge, build on previous research, and avoid duplication. It will also provide a theoretical framework for your research.
• Choose appropriate research methods: Select research methods that are appropriate for your research question, objectives, and sample size. Ensure that your methods are valid, reliable, and ethical.
• Be organized and systematic: Keep detailed notes throughout the research process, including your research plan, methodology, data collection, and analysis. This will help you to stay organized and ensure that you don’t miss any important details.
• Analyze data rigorously: Use appropriate statistical and analytical techniques to analyze your data. Ensure that your analysis is valid, reliable, and transparent.
• I nterpret results carefully : Interpret your results in the context of your research question and objectives. Consider any limitations or potential biases in your research design, and be cautious in drawing conclusions.
• Communicate effectively: Communicate your research findings clearly and effectively to your target audience. Use appropriate language, visuals, and formats to ensure that your findings are understood and valued.
• Collaborate and seek feedback : Collaborate with other researchers, experts, or stakeholders in your field. Seek feedback on your research design, methods, and findings to ensure that they are relevant, meaningful, and impactful.

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Overview of the Research Process

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Research is a rigorous problem-solving process whose ultimate goal is the discovery of new knowledge. Research may include the description of a new phenomenon, definition of a new relationship, development of a new model, or application of an existing principle or procedure to a new context. Research is systematic, logical, empirical, reductive, replicable and transmittable, and generalizable. Research can be classified according to a variety of dimensions: basic, applied, or translational; hypothesis generating or hypothesis testing; retrospective or prospective; longitudinal or cross-sectional; observational or experimental; and quantitative or qualitative. The ultimate success of a research project is heavily dependent on adequate planning.

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Supino, P.G. (2012). Overview of the Research Process. In: Supino, P., Borer, J. (eds) Principles of Research Methodology. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3360-6_1

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21 Problem Solving

Miriam Bassok, Department of Psychology, University of Washington, Seattle, WA

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Overview of the Problem-Solving Mental Process

Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Rachel Goldman, PhD FTOS, is a licensed psychologist, clinical assistant professor, speaker, wellness expert specializing in eating behaviors, stress management, and health behavior change.

• Identify the Problem
• Define the Problem
• Form a Strategy
• Organize Information
• Allocate Resources
• Monitor Progress
• Evaluate the Results

Frequently Asked Questions

Problem-solving is a mental process that involves discovering, analyzing, and solving problems. The ultimate goal of problem-solving is to overcome obstacles and find a solution that best resolves the issue.

The best strategy for solving a problem depends largely on the unique situation. In some cases, people are better off learning everything they can about the issue and then using factual knowledge to come up with a solution. In other instances, creativity and insight are the best options.

It is not necessary to follow problem-solving steps sequentially, It is common to skip steps or even go back through steps multiple times until the desired solution is reached.

In order to correctly solve a problem, it is often important to follow a series of steps. Researchers sometimes refer to this as the problem-solving cycle. While this cycle is portrayed sequentially, people rarely follow a rigid series of steps to find a solution.

The following steps include developing strategies and organizing knowledge.

1. Identifying the Problem

While it may seem like an obvious step, identifying the problem is not always as simple as it sounds. In some cases, people might mistakenly identify the wrong source of a problem, which will make attempts to solve it inefficient or even useless.

Some strategies that you might use to figure out the source of a problem include :

• Asking questions about the problem
• Breaking the problem down into smaller pieces
• Looking at the problem from different perspectives
• Conducting research to figure out what relationships exist between different variables

2. Defining the Problem

After the problem has been identified, it is important to fully define the problem so that it can be solved. You can define a problem by operationally defining each aspect of the problem and setting goals for what aspects of the problem you will address

At this point, you should focus on figuring out which aspects of the problems are facts and which are opinions. State the problem clearly and identify the scope of the solution.

3. Forming a Strategy

After the problem has been identified, it is time to start brainstorming potential solutions. This step usually involves generating as many ideas as possible without judging their quality. Once several possibilities have been generated, they can be evaluated and narrowed down.

The next step is to develop a strategy to solve the problem. The approach used will vary depending upon the situation and the individual's unique preferences. Common problem-solving strategies include heuristics and algorithms.

• Heuristics are mental shortcuts that are often based on solutions that have worked in the past. They can work well if the problem is similar to something you have encountered before and are often the best choice if you need a fast solution.
• Algorithms are step-by-step strategies that are guaranteed to produce a correct result. While this approach is great for accuracy, it can also consume time and resources.

Heuristics are often best used when time is of the essence, while algorithms are a better choice when a decision needs to be as accurate as possible.

4. Organizing Information

Before coming up with a solution, you need to first organize the available information. What do you know about the problem? What do you not know? The more information that is available the better prepared you will be to come up with an accurate solution.

When approaching a problem, it is important to make sure that you have all the data you need. Making a decision without adequate information can lead to biased or inaccurate results.

5. Allocating Resources

Of course, we don't always have unlimited money, time, and other resources to solve a problem. Before you begin to solve a problem, you need to determine how high priority it is.

If it is an important problem, it is probably worth allocating more resources to solving it. If, however, it is a fairly unimportant problem, then you do not want to spend too much of your available resources on coming up with a solution.

At this stage, it is important to consider all of the factors that might affect the problem at hand. This includes looking at the available resources, deadlines that need to be met, and any possible risks involved in each solution. After careful evaluation, a decision can be made about which solution to pursue.

6. Monitoring Progress

After selecting a problem-solving strategy, it is time to put the plan into action and see if it works. This step might involve trying out different solutions to see which one is the most effective.

It is also important to monitor the situation after implementing a solution to ensure that the problem has been solved and that no new problems have arisen as a result of the proposed solution.

Effective problem-solvers tend to monitor their progress as they work towards a solution. If they are not making good progress toward reaching their goal, they will reevaluate their approach or look for new strategies .

7. Evaluating the Results

After a solution has been reached, it is important to evaluate the results to determine if it is the best possible solution to the problem. This evaluation might be immediate, such as checking the results of a math problem to ensure the answer is correct, or it can be delayed, such as evaluating the success of a therapy program after several months of treatment.

Once a problem has been solved, it is important to take some time to reflect on the process that was used and evaluate the results. This will help you to improve your problem-solving skills and become more efficient at solving future problems.

A Word From Verywell​

It is important to remember that there are many different problem-solving processes with different steps, and this is just one example. Problem-solving in real-world situations requires a great deal of resourcefulness, flexibility, resilience, and continuous interaction with the environment.

Get Advice From The Verywell Mind Podcast

Hosted by therapist Amy Morin, LCSW, this episode of The Verywell Mind Podcast shares how you can stop dwelling in a negative mindset.

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You can become a better problem solving by:

• Practicing brainstorming and coming up with multiple potential solutions to problems
• Being open-minded and considering all possible options before making a decision
• Breaking down problems into smaller, more manageable pieces
• Asking for help when needed
• Researching different problem-solving techniques and trying out new ones
• Learning from mistakes and using them as opportunities to grow

It's important to communicate openly and honestly with your partner about what's going on. Try to see things from their perspective as well as your own. Work together to find a resolution that works for both of you. Be willing to compromise and accept that there may not be a perfect solution.

Take breaks if things are getting too heated, and come back to the problem when you feel calm and collected. Don't try to fix every problem on your own—consider asking a therapist or counselor for help and insight.

If you've tried everything and there doesn't seem to be a way to fix the problem, you may have to learn to accept it. This can be difficult, but try to focus on the positive aspects of your life and remember that every situation is temporary. Don't dwell on what's going wrong—instead, think about what's going right. Find support by talking to friends or family. Seek professional help if you're having trouble coping.

Davidson JE, Sternberg RJ, editors.  The Psychology of Problem Solving .  Cambridge University Press; 2003. doi:10.1017/CBO9780511615771

Sarathy V. Real world problem-solving .  Front Hum Neurosci . 2018;12:261. Published 2018 Jun 26. doi:10.3389/fnhum.2018.00261

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Encyclopedia for Writers

Writing with ai.

• © 2023 by Joseph M. Moxley - Founder, Writing Commons

Research refers to a systematic investigation carried out to discover new  knowledge , test existing  knowledge claims, solve practical problems , and develop new products, apps, and services. This article explores why different research communities have different ideas about what research is and how to conduct it. Learn about the different epistemological assumptions that undergird  informal , qualitative , quantitative , textual , and mixed research methods .

Table of Contents

What is Research?

Research may refer to

• For most researchers, the first step in any research project involves strategic searching to learn what the current and best research, theory, and scholarship is on a topic .
• scholars create knowledge by engaging in textual research , interpretation , and hermeneutics .
• scientists create knowledge by engaging in observation and systematic experimentation.
• Ethnography
• Participant Observation
• Survey Research
• “a systematic application of knowledge toward the production of useful materials, devices, and systems or methods, including design, development, and improvement of prototypes and new processes” (NSF n.d.)
• a process,  a research methodology , that follows  the principles of lean design .

Key Words: Research Community ; Research Methodology ; Research Methods ; Epistemology

Why Does Research Matter?

Overall, research is essential for advancing knowledge, solving problems, informing decision-making, fostering innovation, and promoting critical thinking. It plays a crucial role in shaping the world we live in and the future we create.

• Research allows us to better understand the world around us, from the fundamental workings of the universe to the intricacies of human behavior. By conducting research, scholars can uncover new information, develop new theories and models, and identify gaps in existing knowledge that need to be filled. This knowledge can help students and teachers to better understand the world around them and develop new solutions to the problems facing society.
• Research helps us identify and solve problems. It can help us find ways to improve our health, protect the environment, reduce poverty, and develop new technologies.
• Research provides important information that can inform policy decisions, business strategies, and individual choices. By studying trends, analyzing data, and conducting experiments, researchers can help us make better-informed decisions.
• Research often leads to new technologies, products, and services. By pushing the boundaries of what is currently possible, researchers can inspire and fuel innovation.
• Research teaches us to question assumptions, evaluate evidence, and think critically. These skills are important for students to develop because they enable them to become more informed and engaged citizens, able to make more informed decisions and contribute to society in meaningful ways.
• Research experience can be an asset in many career fields, including academia, business, government, and nonprofit organizations. By conducting research as an undergraduate student, students can develop valuable skills and experience that can help them to succeed in their future careers.

Types of Research

The choice of research methods depends on the epistemological assumptions of the researchers and the practices of a particular methodological community , the research question , the type of data needed, and the resources available.

Epistemology and Research Communities

Investigators across academic disciplines — the humanities, social sciences, sciences, and the arts — share some common methods and values. For instance, in both workplace writing and academic writing , investigators are careful

• to cite sources , particularly sources that have changed the conversation on a topic
• to provide evidence for claims (as opposed to opinion or other forms of anecdotal knowledge .

Yet it is also important to note that different research communities also develop unique approaches to exploring and solving problems in their knowledge domains. Research communities develop different ways of conducting research because they face different problems and because they may have different epistemological assumptions about what knowledge is and how to measure it. For example, if a researcher believes that knowledge can only be gained through observation and empirical evidence , they may choose to use quantitative research methods such as experiments or surveys . Conversely, if a researcher believes that knowledge can also be gained through subjective experience and interpretation , they may choose to use qualitative research methods such as case study , ethnography or participant observation

While there are many nuanced definitions of epistemology , scholars have identified three major epistemological perspectives that inform the works of three research communities

• The Scholars – aka Scholarship
• The Positivists – aka Positivism
• The Postpositivists – aka Postpositivism

Research & Mindset

Researchers are curious about the world. They embrace openness , a growth mindset , and collaboration . They undertake research projects in order to review existing knowledge and generate original knowledge claims about the topic , thesis, research question they are investigating. Research finds evidence.

Research Ethics

Researchers and consumers of research are wise to view research claims and research plans from an ethical perspective. Given human nature — such as the tendency to look for confirming evidence and ignore disconfirming evidence and to allow emotions to cloud reasoning — it’s foolhardy to disregard critical literacy practices when consuming the research of others.

Ethics are important to undergraduate students as researchers because ethics provide a framework for conducting research that is responsible, respectful, and accountable :

• Ethics ensure that participants in research are treated with respect and dignity, and that their rights and well-being are protected. As a student researcher, it is important to obtain informed consent from participants, ensure their confidentiality, and minimize any potential harm or discomfort.
• Ethics ensure that research is conducted with integrity and honesty. This means that data is collected and analyzed accurately, and that findings are reported truthfully and transparently.
• Ethics help to build trust between researchers and the public. When research is conducted ethically, participants and the wider community are more likely to trust the findings and the researchers themselves.
• Adhering to ethical standards in research can help students to develop important professional skills, such as critical thinking, problem-solving, and communication . These skills can be useful in a wide range of career fields, including academia, healthcare, and government.
• Ethical research is a professional obligation. By conducting research ethically, students are fulfilling their obligations to the wider research community.

Research as an Iterative, Recursive, Chaotic Process

Research is commonly depicted on websites and textbooks on research methods as systematic work (see, e.g., Wikipedia’s Research page).

Depicting research as systematic work is certainly valid, especially in natural and social science research. For instance, scientists in the lab working with a virus like COVID-19 or Ebola aren’t going to play around. Their professionalism and safety is tied to rigorously following research protocols.

That said, it’s an oversimplification to suggest research processes are invariably systematic. Discoveries have emerged from basic research that have been wildly popular and useful real-world applications . (See, for example, 24 Unintended Scientific Discoveries — the video below). Scientists may begin researching hypothesis A but rewrite that hypothesis multiple times until they find hypothesis Z — something that explains the data. Then they go back and repackage their investigation, following ethical standards, for a wider audience.

Ultimately, because research is such an iterative process, the thesis or hypothesis a researcher began with may not be the one the researcher ends up with. The takeaway here is that research is a learning process. Research efforts can lead to unpredictable applications and insights. Research finds evidence. Ultimately, research is about curiosity and openness. The question that initiates a research effort may morph into other questions as researchers

• dig deeper into the literature on the topic and become more conversant
• endeavor to make sense of the data/information they have gathered during the conduct of the study.

Related Concepts

Research methods.

Research results— knowledge claims -—are important. But, how researchers claim to know what they know—their research methods and research methodology —are equally important.

Information Literacy

During the early stages of a writing project, you can identify research questions worth asking by engaging in Information Literacy practices.

Using Evidence

Learn to summarize,  paraphrase , and  cite sources . Weave others’ ideas and words into your texts in ways that support your  thesis/research question ,  information ,  rhetorical stance .

Hale, J. (2018). Understanding research methodology 5: Applied and basic research, PsychCentral . https://psychcentral.com/blog/understanding-research-methodology-5-applied-and-basic-research/

Related Articles

Applied Research, Basic Research

Epistemology - theories of knowledge.

Research Methodology

Scholarship - The Scholars - Textual Research Methods

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Structured Revision – How to Revise Your Work

Professional Writing – How to Write for the Professional World

Authority & Credibility – How to Be Credible & Authoritative in Research, Speech & Writing

Citation Guide – Learn How to Cite Sources in Academic and Professional Writing

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Understand the difference between Applied Research and Basic Research.

As an investigator be sure to protect your research subjects and follow ethical standards. As a consumer of research, be mindful of when investigators may be exaggerating results, making claims...

Not all research methods are equal or produce the same kind of knowledge. Learn about the philosophies, the epistemologies, that inform qualitative, quantitative, mixed, and textual research methods.

Understand how to identify appropriate research methods for particular methodological communities, rhetorical situations, and research questions.

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A research problem is a definite, clear expression [statement] about an area of concern, a condition to be improved upon, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or within existing practice that points to a need for meaningful understanding and deliberate investigation. A research problem does not state how to do something, offer a vague or broad proposition, or present a value question. In the social and behavioral sciences, studies are most often framed around examining a problem that needs to be understood and resolved in order to improve society and the human condition.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Guba, Egon G., and Yvonna S. Lincoln. “Competing Paradigms in Qualitative Research.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, editors. (Thousand Oaks, CA: Sage, 1994), pp. 105-117; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

Importance of...

The purpose of a problem statement is to:

• Introduces the reader to the importance of the topic being studied . The reader is oriented to the significance of the study.
• Anchors the research questions, hypotheses, or assumptions to follow . It offers a concise statement about the purpose of your paper.
• Places the topic into a particular context . It defines the parameters of what is to be investigated.
• Provides the framework for reporting the results. It indicates what is probably necessary to conduct the study and explain how the findings will present this information.

In the social and behavioral sciences, the research problem establishes the means by which you must answer the "So What?" question. This declarative question refers to a research problem surviving the relevancy test [the quality of a measurement procedure that provides repeatability and accuracy]. Note that answering the "So What?" question requires a commitment on your part to not only show that you have reviewed the literature, but that you have thoroughly considered the significance of the research problem and its implications applied to creating new knowledge and understanding or informing practice in a meaningful way.

To survive the "So What" question, problem statements should possess the following attributes:

• Clarity and precision [a well-written statement does not make sweeping generalizations and irresponsible pronouncements; it also does include unspecific determinates like "very" or "giant"],
• Demonstrate a researchable topic or issue [i.e., feasibility of conducting the study is based upon access to information that can be effectively acquired, gathered, interpreted, synthesized, understood, and accurately reported],
• Identification of what would be studied, while avoiding the use of value-laden words and terms,
• Identification of an overarching question or small set of questions accompanied by key factors or variables,
• Identification of key concepts and terms,
• Articulation of the study's conceptual boundaries or parameters or limitations,
• Some generalizability in regards to applicability and bringing results into general use,
• Conveyance of the study's importance, benefits, and justification [i.e., regardless of the type of research, it is important to demonstrate that the research is not trivial],
• Does not have unnecessary jargon or overly complex sentence constructions; and,
• Conveyance of more than the mere gathering of descriptive data providing only a snapshot of the issue or phenomenon under investigation.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Brown, Perry J., Allen Dyer, and Ross S. Whaley. "Recreation Research—So What?" Journal of Leisure Research 5 (1973): 16-24; Castellanos, Susie. Critical Writing and Thinking. The Writing Center. Dean of the College. Brown University; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Selwyn, Neil. "‘So What?’…A Question that Every Journal Article Needs to Answer." Learning, Media, and Technology 39 (2014): 1-5; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518.

Structure and Writing Style

I.  Types and Content

There are four general conceptualizations of a research problem in the social and behavioral sciences:

• Casuist Research Problem -- this type of problem relates to the determination of right and wrong in questions of conduct or conscience by analyzing moral dilemmas through the application of general rules and the careful distinction of special cases.
• Difference Research Problem -- typically asks the question, “Is there a difference between two or more groups or treatments?” This type of problem statement is used when the researcher compares or contrasts two or more phenomena. This a common approach to defining a problem in the clinical social sciences or behavioral sciences.
• Descriptive Research Problem -- typically asks the question, "what is...?" with the underlying purpose to describe the significance of a situation, state, or existence of a specific phenomenon. This problem is often associated with revealing hidden or understudied issues.
• Relational Research Problem -- suggests a relationship of some sort between two or more variables to be investigated. The underlying purpose is to investigate specific qualities or characteristics that may be connected in some way.

A problem statement in the social sciences should contain :

• A lead-in that helps ensure the reader will maintain interest over the study,
• A declaration of originality [e.g., mentioning a knowledge void or a lack of clarity about a topic that will be revealed in the literature review of prior research],
• An indication of the central focus of the study [establishing the boundaries of analysis], and
• An explanation of the study's significance or the benefits to be derived from investigating the research problem.

NOTE:   A statement describing the research problem of your paper should not be viewed as a thesis statement that you may be familiar with from high school. Given the content listed above, a description of the research problem is usually a short paragraph in length.

II.  Sources of Problems for Investigation

The identification of a problem to study can be challenging, not because there's a lack of issues that could be investigated, but due to the challenge of formulating an academically relevant and researchable problem which is unique and does not simply duplicate the work of others. To facilitate how you might select a problem from which to build a research study, consider these sources of inspiration:

Deductions from Theory This relates to deductions made from social philosophy or generalizations embodied in life and in society that the researcher is familiar with. These deductions from human behavior are then be placed within an empirical frame of reference through research. From a theory, the researcher can formulate a research problem or hypothesis stating the expected findings in certain empirical situations. The research asks the question: “What relationship between variables will be observed if theory aptly summarizes the state of affairs?” One can then design and carry out a systematic investigation to assess whether empirical data confirm or reject the hypothesis, and hence, the theory.

Interdisciplinary Perspectives Identifying a problem that forms the basis for a research study can come from academic movements and scholarship originating in disciplines outside of your primary area of study. This can be an intellectually stimulating exercise. A review of pertinent literature should include examining research from related disciplines that can reveal new avenues of exploration and analysis. An interdisciplinary approach to selecting a research problem offers an opportunity to construct a more comprehensive understanding of a very complex issue that any single discipline may be able to provide.

Interviewing Practitioners The identification of research problems about particular topics can arise from formal interviews or informal discussions with practitioners who provide insight into new directions for future research and how to make research findings more relevant to practice. Discussions with experts in the field, such as, teachers, social workers, health care providers, lawyers, business leaders, etc., offers the chance to identify practical, “real world” problems that may be understudied or ignored within academic circles. This approach also provides some practical knowledge which may help in the process of designing and conducting your study.

Personal Experience Don't undervalue your everyday experiences or encounters as worthwhile problems for investigation. Think critically about your own experiences and/or frustrations with an issue facing society or related to your community, your neighborhood, your family, or your personal life. This can be derived, for example, from deliberate observations of certain relationships for which there is no clear explanation or witnessing an event that appears harmful to a person or group or that is out of the ordinary. From this, assume the position of a researcher to explore how a personal experience could be examined as a topic of investigation with outcomes [findings] applicable to others.

Relevant Literature The selection of a research problem can be derived from a thorough review of pertinent research associated with your overall area of interest. This may reveal where a lack of evidence exists in understanding a topic or where an issue has been understudied. Research may be conducted to: 1) fill such gaps in knowledge; 2) evaluate if the methodologies employed in prior studies can be adapted to solve other problems; or, 3) determine if a similar study could be conducted in a different subject area or applied in a different context or to different study sample [i.e., different setting or different group of people].

NOTE: Authors frequently conclude their studies by noting implications for further research; read the conclusion of pertinent studies because statements about further research can be a valuable source for identifying new problems to investigate. The fact that a researcher has identified a topic worthy of further exploration validates the fact it is worth pursuing.

III.  What Makes a Good Research Statement?

A good problem statement begins by introducing the broad area in which your research is centered, gradually leading the reader to the more specific issues you are investigating. The statement need not be lengthy, but a good research problem should incorporate the following features:

1.  Compelling Topic The problem chosen should be one that motivates you to address it. However, simple curiosity is not a good enough reason to pursue a research study because this does not indicate significance. The problem that you choose to explore must be important to you, but it must also be viewed as important by your readers and to the larger academic and/or social community that could be impacted by the results of your study. 2.  Supports Multiple Perspectives The problem must be phrased in a way that avoids dichotomies [i.e., difference of opinion] and instead supports the generation and exploration of multiple perspectives. A general rule of thumb in the social sciences is that a good research problem is one that would generate a variety of viewpoints from a composite audience made up of reasonable people. 3.  Researchability This isn't a real word but it represents an important aspect of creating a good research statement. It seems a bit obvious, but you don't want to find yourself in the midst of a complex research project and realize that you do not have enough prior research to draw from for your analysis. There's nothing inherently wrong with original research, but you must choose a research problems that can be supported, in some way, by the resources available to you. If you are not sure if something is researchable, don't assume that it isn't if you don't find information right away--seek help from a librarian !

NOTE:   Do not confuse a research problem with a research topic. A topic is something to read and obtain information about, whereas a problem is something to be solved or framed as a question raised for inquiry, consideration, or solution, or explained as a source of perplexity, distress, or vexation. In short, a research topic is something to be understood; a research problem is something to be investigated.

IV.  Asking Analytical Questions about the Research Problem

Research problems in the social and behavioral sciences are often analyzed around critical questions that must be addressed. These questions can be explicitly listed in the introduction [i.e., "This study addresses three research questions about women's psychological recovery from domestic abuse in multi-generational home settings..."], or, the questions are implied in the text as specific areas of study related to the research problem. Explicitly listing your research questions at the end of your introduction can help in designing a clear roadmap of what you plan to address in your study, whereas, implicitly integrating them into the text of the introduction allows you to create a more compelling narrative around the key issues under investigation. Either approach is appropriate.

The number of questions you attempt to address should be based on the complexity of the problem you are investigating and what areas of inquiry you find most critical to study. The questions should also relate to each other in some meaningful way . Practical considerations, such as, the length of the paper you are writing or the availability of resources to analyze the issue can also factor in how many questions to ask. In general, however, there should be no more than four research questions underpinning a single research problem.

Given this, well-developed analytical questions can focus on any of the following:

• Highlights a genuine dilemma, area of ambiguity, or point of confusion about a topic open to interpretation by your readers;
• Yields an answer that is unexpected and not obvious rather than inevitable and self-evident;
• Provokes meaningful thought or discussion;
• Raises the visibility of the key ideas or concepts that may be understudied or hidden;
• Suggests the need for complex analysis or argument rather than a basic description or summary; and,
• Offers a specific path of inquiry that avoids eliciting generalizations about the problem.

NOTE:   Questions of how and why concerning a research problem often require more analysis than questions about who, what, where, and when. You should still ask yourself these latter questions, however. Thinking introspectively about the who, what, where, and when of a research problem can help ensure that you have thoroughly considered all aspects of the problem under investigation and helps define the scope of the study in relation to the problem.

V.  Mistakes to Avoid

Beware of circular reasoning! Do not state the research problem as simply the absence of the thing you are suggesting. For example, if you propose the following, "The problem in this community is that there is no hospital," this only leads to a research problem where:

• The need is for a hospital
• The objective is to create a hospital
• The method is to plan for building a hospital, and
• The evaluation is to measure if there is a hospital or not.

This is an example of a research problem that fails the "So What?" test . In this example, the problem does not reveal the relevance of why you are investigating the fact there is no hospital in the community [e.g., perhaps there's a hospital in the community fifty miles away]; it does not elucidate the significance of why one should study the fact there is no hospital in the community [e.g., that hospital in the community fifty miles away has no emergency room]; the research problem does not offer an intellectual pathway towards adding new knowledge or clarifying prior knowledge [e.g., the county in which there is no hospital already conducted a study about the need for a hospital, but it was conducted ten years ago]; and, the problem does not offer meaningful outcomes that lead to recommendations that can be generalized for other situations or that could suggest areas for further research [e.g., the challenges of building a new hospital serves as a case study for other communities].

Alvesson, Mats and Jörgen Sandberg. “Generating Research Questions Through Problematization.” Academy of Management Review 36 (April 2011): 247-271 ; Choosing and Refining Topics. Writing@CSU. Colorado State University; D'Souza, Victor S. "Use of Induction and Deduction in Research in Social Sciences: An Illustration." Journal of the Indian Law Institute 24 (1982): 655-661; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); How to Write a Research Question. The Writing Center. George Mason University; Invention: Developing a Thesis Statement. The Reading/Writing Center. Hunter College; Problem Statements PowerPoint Presentation. The Writing Lab and The OWL. Purdue University; Procter, Margaret. Using Thesis Statements. University College Writing Centre. University of Toronto; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518; Trochim, William M.K. Problem Formulation. Research Methods Knowledge Base. 2006; Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Walk, Kerry. Asking an Analytical Question. [Class handout or worksheet]. Princeton University; White, Patrick. Developing Research Questions: A Guide for Social Scientists . New York: Palgrave McMillan, 2009; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

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Design Thinking (DT)

What is design thinking (dt).

Design thinking is a non-linear, iterative process that teams use to understand users, challenge assumptions, redefine problems and create innovative solutions to prototype and test. It is most useful to tackle ill-defined or unknown problems and involves five phases: Empathize, Define, Ideate, Prototype and Test.

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Why Is Design Thinking so Important?

“Design thinking is a human-centered approach to innovation that draws from the designer's toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.” — Tim Brown, CEO of IDEO

Design thinking fosters innovation . Companies must innovate to survive and remain competitive in a rapidly changing environment. In design thinking, cross-functional teams work together to understand user needs and create solutions that address those needs. Moreover, the design thinking process helps unearth creative solutions.

Design teams use design thinking to tackle ill-defined/unknown problems (aka wicked problems ). Alan Dix, Professor of Human-Computer Interaction, explains what wicked problems are in this video.

Wicked problems demand teams to think outside the box, take action immediately, and constantly iterate—all hallmarks of design thinking.

Don Norman, a pioneer of user experience design, explains why the designer’s way of thinking is so powerful when it comes to such complex problems.

Design thinking offers practical methods and tools that major companies like Google, Apple and Airbnb use to drive innovation. From architecture and engineering to technology and services, companies across industries have embraced the methodology to drive innovation and address complex problems. 

The End Goal of Design Thinking: Be Desirable, Feasible and Viable

The design thinking process aims to satisfy three criteria: desirability (what do people desire?), feasibility (is it technically possible to build the solution?) and viability (can the company profit from the solution?). Teams begin with desirability and then bring in the other two lenses.

© Interaction Design Foundation, CC BY-SA 4.0

Desirability: Meet People’s Needs

The design thinking process starts by looking at the needs, dreams and behaviors of people—the end users. The team listens with empathy to understand what people want, not what the organization thinks they want or need. The team then thinks about solutions to satisfy these needs from the end user’s point of view.

Feasibility: Be Technologically Possible

Once the team identifies one or more solutions, they determine whether the organization can implement them. In theory, any solution is feasible if the organization has infinite resources and time to develop the solution. However, given the team’s current (or future resources), the team evaluates if the solution is worth pursuing. The team may iterate on the solution to make it more feasible or plan to increase its resources (say, hire more people or acquire specialized machinery).

At the beginning of the design thinking process, teams should not get too caught up in the technical implementation. If teams begin with technical constraints, they might restrict innovation.

Viability: Generate Profits

A desirable and technically feasible product isn’t enough. The organization must be able to generate revenues and profits from the solution. The viability lens is essential not only for commercial organizations but also for non-profits. 

Traditionally, companies begin with feasibility or viability and then try to find a problem to fit the solution and push it to the market. Design thinking reverses this process and advocates that teams begin with desirability and bring in the other two lenses later.

The Five Stages of Design Thinking

Stanford University’s Hasso Plattner Institute of Design, commonly known as the d.school, is renowned for its pioneering approach to design thinking. Their design process has five phases: Empathize, Define, Ideate, Prototype, and Test. These stages are not always sequential. Teams often run them in parallel, out of order, and repeat them as needed.

Stage 1: Empathize —Research Users' Needs

The team aims to understand the problem, typically through user research. Empathy is crucial to design thinking because it allows designers to set aside your assumptions about the world and gain insight into users and their needs.

Stage 2: Define—State Users' Needs and Problems

Once the team accumulates the information, they analyze the observations and synthesize them to define the core problems. These definitions are called problem statements . The team may create personas to help keep efforts human-centered.

Stage 3: Ideate—Challenge Assumptions and Create Ideas

With the foundation ready, teams gear up to “think outside the box.” They brainstorm alternative ways to view the problem and identify innovative solutions to the problem statement.

Stage 4: Prototype—Start to Create Solutions

This is an experimental phase. The aim is to identify the best possible solution for each problem. The team produces inexpensive, scaled-down versions of the product (or specific features found within the product) to investigate the ideas. This may be as simple as paper prototypes .

Stage 5: Test—Try the Solutions Out

The team tests these prototypes with real users to evaluate if they solve the problem. The test might throw up new insights, based on which the team might refine the prototype or even go back to the Define stage to revisit the problem.

These stages are different modes that contribute to the entire design project rather than sequential steps. The goal is to gain a deep understanding of the users and their ideal solution/product.

Design Thinking Frameworks

There is no single definition or process for design thinking. The five-stage design thinking methodology described above is just one of several frameworks.

Hasso-Platner Institute Panorama

Ludwig Wilhelm Wall, CC BY-SA 3.0 , via Wikimedia Commons

Innovation doesn’t follow a linear path or have a clear-cut formula. Global design leaders and consultants have interpreted the abstract design process in different ways and have proposed other frameworks of design thinking.

Head, Heart and Hand by the American Institution of Graphic Arts (AIGA)

The Head, Heart, and Hand approach by AIGA (American Institute of Graphic Arts) is a holistic perspective on design. It integrates the intellectual, emotional, and practical aspects of the creative process.

More than a process, the Head, Heart and Hand framework outlines the different roles that designers must perform to create great results.

© American Institute of Graphic Arts, Fair Use

“ Head ” symbolizes the intellectual component. The team focuses on strategic thinking, problem-solving and the cognitive aspects of design. It involves research and analytical thinking to ensure that design decisions are purposeful.

“ Heart ” represents the emotional dimension. It emphasizes empathy, passion, and human-centeredness. This aspect is crucial in understanding the users’ needs, desires, and experiences to ensure that designs resonate on a deeper, more personal level.

“ Hand ” signifies the practical execution of ideas, the craftsmanship, and the skills necessary to turn concepts into tangible solutions. This includes the mastery of tools, techniques, and materials, as well as the ability to implement and execute design ideas effectively.

Inspire, Ideate, Implement by IDEO

IDEO is a leading design consultancy and has developed its own version of the design thinking framework.

IDEO’s design thinking process is a cyclical three-step process that involves Inspiration, Ideation and Implementation.

© IDEO, Public License

In the “ Inspire ” phase, the team focuses on understanding users’ needs, behaviors, and motivations. The team empathizes with people through observation and user interviews to gather deep insights.

In the “ Ideate ” phase, the team synthesizes the insights gained to brainstorm a wide array of creative solutions. This stage encourages divergent thinking, where teams focus on quantity and variety of ideas over immediate practicality. The goal is to explore as many possibilities as possible without constraints.

In the “ Implement ” phase, the team brings these ideas to life through prototypes. The team tests, iterates and refines these ideas based on user feedback. This stage is crucial for translating abstract concepts into tangible, viable products, services, or experiences.

The methodology emphasizes collaboration and a multidisciplinary approach throughout each phase to ensure solutions are innovative and deeply rooted in real human needs and contexts.

The Double Diamond by the Design Council

In the book Designing Social Systems in a Changing World , Béla Heinrich Bánáthy, Professor at San Jose State University and UC Berkeley, created a “divergence-convergence model” diagram. The British Design Council interpreted this diagram to create the Double Diamond design process model.

As the name suggests, the double diamond model consists of two diamonds—one for the problem space and the other for the solution space. The model uses diamonds to represent the alternating diverging and converging activities.

© Design Council, CC BY 4.0

In the diverging “ Discover ” phase, designers gather insights and empathize with users’ needs. The team then converges in the “ Define ” phase to identify the problem.

The second, solution-related diamond, begins with “ Develop ,” where the team brainstorms ideas. The final stage is “ Deliver ,” where the team tests the concepts and implements the most viable solution.

This model balances expansive thinking with focused execution to ensure that design solutions are both creative and practical. It underscores the importance of understanding the problem thoroughly and carefully crafting the solution, making it a staple in many design and innovation processes.

With the widespread adoption of the double diamond framework, Design Council’s simple visual evolved.

In this expanded and annotated version, the framework emphasizes four design principles:

Be people-centered.

Communicate (visually and inclusively).

Collaborate and co-create.

Iterate, iterate, iterate!

The updated version also highlights the importance of leadership (to create an environment that allows innovation) and engagement (to connect with different stakeholders and involve them in the design process).

Common Elements of Design Thinking Frameworks

On the surface, design thinking frameworks look very different—they use alternative names and have different numbers of steps. However, at a fundamental level, they share several common traits.

Start with empathy . Focus on the people to come up with solutions that work best for individuals, business, and society.

Reframe the problem or challenge at hand . Don’t rush into a solution. Explore the problem space and look at the issue through multiple perspectives to gain a more holistic, nuanced understanding.

Initially, employ a divergent style of thinking (analyze) . In the problem space, gather as many insights as possible. In the solution space, encourage team members to generate and explore as many solutions as possible in an open, judgment-free ideation space.

Later, employ a convergent style of thinking (synthesize) . In the problem space, synthesize all data points to define the problem. In the solution space, whittle down all the ideas—isolate, combine and refine potential solutions to create more mature ideas.

Create and test prototypes . Solutions that make it through the previous stages get tested further to remove potential issues.

Iterate . As the team progresses through the various stages, they revisit different stages and may redefine the challenge based on new insights.

Design thinking is a non-linear process. For example, teams may jump from the test stage to the define stage if the tests reveal insights that redefine the problem. Or, a prototype might spark a new idea, prompting the team to step back into the ideate stage. Tests may also create new ideas for projects or reveal insights about users.

Design Thinking Mindsets: More than a Process

A mindset is a characteristic mental attitude that determines how one interprets and responds to situations . Design thinking mindsets are how individuals think , feel and express themselves during design thinking activities. It includes people’s expectations and orientations during a design project.

Without the right mindset, it can be very challenging to change how we work and think.

The key mindsets that ensure a team can successfully implement design thinking are.

Be empathetic: Empathy is the ability to place yourself, your thinking and feelings in another person’s shoes. Design thinking begins from a deep understanding of the needs and motivations of people—the parents, neighbors, children, colleagues, and strangers who make up a community. 

Be collaborative: No one person is responsible for the outcome when you work in a team. Several great minds are always stronger than just one. Design thinking benefits from the views of multiple perspectives and lets others’ creativity bolster your own.

Be optimistic: Be confident about achieving favorable outcomes. Design thinking is the fundamental belief that we can all create change—no matter how big a problem, how little time, or how small a budget. Designing can be a powerful process no matter what constraints exist around you.

Embrace ambiguity: Get comfortable with ambiguous and complex situations. If you expect perfection, it is difficult to take risks, which limits your ability to create radical change. Design thinking is all about experimenting and learning by doing. It gives you the confidence to believe that new, better things are possible and that you can help make them a reality. 

Be curious: Be open to different ideas. Recognize that you are not the user.

Reframe: Challenge and reframe assumptions associated with a given situation or problem. Don’t take problems at face value. Humans are primed to look for patterns. The unfortunate side effect of these patterns is that we form (often false and sometimes dangerous) stereotypes and assumptions. Design thinking aims to help you break through any preconceived notions and biases and reframe challenges.

Embrace diversity: Work with and engage people with different cultural backgrounds, experiences, and ways of thinking and working. Everyone brings a unique perspective to the team. When you include diverse voices in a team, you learn from each other’s experiences, further helping you break through your assumptions.

Make tangible: When you make ideas tangible, it is faster and easier for everyone on the team to be on the same page. For example, sketching an idea or enacting a scenario is far more convenient and easy to interpret than an elaborate presentation or document.

Take action: Run experiments and learn from them.

Design Thinking vs Agile Methodology

Teams often use design thinking and agile methodologies in project management, product development, and software development. These methodologies have distinct approaches but share some common principles.

Similarities between Design Thinking and Agile

Iterative process.

Both methodologies emphasize iterative development. In design thinking, teams may jump from one phase to another, not necessarily in a set cyclical or linear order. For example, on testing a prototype, teams may discover something new about their users and realize that they must redefine the problem. Agile teams iterate through development sprints.

User-Centered

The agile and design thinking methodologies focus on the end user. All design thinking activities—from empathizing to prototyping and testing—keep the end users front and center. Agile teams continually integrate user feedback into development cycles.

Collaboration and Teamwork

Both methodologies rely heavily on collaboration among cross-functional teams and encourage diverse perspectives and expertise.

Flexibility and Adaptability

With its focus on user research, prototyping and testing, design thinking ensures teams remain in touch with users and get continuous feedback. Similarly, agile teams monitor user feedback and refine the product in a reasonably quick time.

In this video, Laura Klein, author of Build Better Products , describes a typical challenge designers face on agile teams. She encourages designers to get comfortable with the idea of a design not being perfect. Notice the many parallels between Laura’s advice for designers on agile teams and the mindsets of design thinking.

Differences between Design Thinking and Agile

While design thinking and agile teams share principles like iteration, user focus, and collaboration, they are neither interchangeable nor mutually exclusive. A team can apply both methodologies without any conflict.

From a user experience design perspective, design thinking applies to the more abstract elements of strategy and scope. At the same time, agile is more relevant to the more concrete elements of UX: structure, skeleton and surface. For quick reference, here’s an overview of the five elements of user experience.

Design thinking is more about exploring and defining the right problem and solution, whereas agile is about efficiently executing and delivering a product.

Here are the key differences between design thinking and agile.

Design Sprint: A Condensed Version of Design Thinking

A design sprint is a 5-day intensive workshop where cross-functional teams aim to develop innovative solutions.

The design sprint is a very structured version of design thinking that fits into the timeline of a sprint (a sprint is a short timeframe in which agile teams work to produce deliverables). Developed by Google Ventures, the design sprint seeks to fast-track innovation.

In this video, user researcher Ditte Hvas Mortensen explains the design sprint in detail.

Learn More about Design Thinking

Design consultancy IDEO’s designkit is an excellent repository of design thinking tools and case studies.

To keep up with recent developments in design thinking, read IDEO CEO Tim Brown’s blog .

Enroll in our course Design Thinking: The Ultimate Guide —an excellent guide to get you started on your design thinking projects.

Questions related to Design Thinking

You don’t need any certification to practice design thinking. However, learning about the nuances of the methodology can help you:

Pick the appropriate methods and tailor the process to suit the unique needs of your project.

Avoid common pitfalls when you apply the methods.

Better lead a team and facilitate workshops.

Increase the chances of coming up with innovative solutions.

IxDF has a comprehensive course to help you gain the most from the methodology: Design Thinking: The Ultimate Guide .

Anyone can apply design thinking to solve problems. Despite what the name suggests, non-designers can use the methodology in non-design-related scenarios. The methodology helps you think about problems from the end user’s perspective. Some areas where you can apply this process:

Develop new products with greater chances of success.

Address community-related issues (such as education, healthcare and environment) to improve society and living standards.

Innovate/enhance existing products to gain an advantage over the competition.

Achieve greater efficiencies in operations and reduce costs.

Use the Design Thinking: The Ultimate Guide course to apply design thinking to your context today.

A framework is the basic structure underlying a system, concept, or text. There are several design thinking frameworks with slight differences. However, all the frameworks share some traits. Each framework: 

Begins with empathy.

Reframes the problem or challenge at hand.

Initially employs divergent styles of thinking to generate ideas.

Later, it employs convergent styles of thinking to narrow down the best ideas,

Creates and tests prototypes.

Iterates based on the tests.

Some of the design thinking frameworks are:

5-stage design process by d.school

7-step early traditional design process by Herbert Simon

The 5-Stage DeepDive™ by IDEO

The “Double Diamond” Design Process Model by the Design Council

Collective Action Toolkit (CAT) by Frog Design

The LUMA System of Innovation by LUMA Institute

For details about each of these frameworks, see 10 Insightful Design Thinking Frameworks: A Quick Overview .

IDEO’s 3-Stage Design Thinking Process consists of inspiration, ideation and implementation:

Inspire : The problem or opportunity inspires and motivates the search for a solution.

Ideate : A process of synthesis distills insights which can lead to solutions or opportunities for change.

Implement : The best ideas are turned into a concrete, fully conceived action plan.

IDEO is a leader in applying design thinking and has developed many frameworks. Find out more in 10 Insightful Design Thinking Frameworks: A Quick Overview .

Design Council's Double Diamond diagram depicts the divergent and convergent stages of the design process.

Béla H. Bánáthy, founder of the White Stag Leadership Development Program, created the “divergence-convergence” model in 1996. In the mid-2000s, the British Design Council made this famous as the Double Diamond model.

The Double Diamond diagram graphically represents a design thinking process. It highlights the divergent and convergent styles of thinking in the design process. It has four distinct phases:

Discover: Initial idea or inspiration based on user needs.

Define: Interpret user needs and align them with business objectives.

Develop: Develop, iterate and test design-led solutions.

Deliver: Finalize and launch the end product into the market.

Double Diamond is one of several design thinking frameworks. Find out more in 10 Insightful Design Thinking Frameworks: A Quick Overview .

There are several design thinking methods that you can choose from, depending on what stage of the process you’re in. Here are a few common design thinking methods:

User Interviews: to understand user needs, pain points, attitudes and behaviors.

5 Whys Method: to dig deeper into problems to diagnose the root cause.

User Observations: to understand how users behave in real life (as opposed to what they say they do).

Affinity Diagramming: to organize research findings.

Empathy Mapping: to empathize with users based on research insights.

Journey Mapping: to visualize a user’s experience as they solve a problem.

6 Thinking Hats: to encourage a group to think about a problem or solution from multiple perspectives.

Brainstorming: to generate ideas.

Prototyping: to make abstract ideas more tangible and test them.

Dot Voting: to select ideas.

Start applying these methods to your work today with the Design Thinking template bundle .

For most of the design thinking process, you will need basic office stationery:

Pen and paper

Sticky notes

Whiteboard and markers

Print-outs of templates and canvases as needed (such as empathy maps, journey maps, feedback capture grid etc.) You can also draw these out manually.

Prototyping materials such as UI stencils, string, clay, Lego bricks, sticky tapes, scissors and glue.

A space to work in.

You can conduct design thinking workshops remotely by:

Using collaborative software to simulate the whiteboard and sticky notes.

Using digital templates instead of printed canvases.

Download print-ready templates you can share with your team to practice design thinking today.

Design thinking is a problem-solving methodology that helps teams better identify, understand, and solve business and customer problems.

When businesses prioritize and empathize with customers, they can create solutions catering to their needs. Happier customers are more likely to be loyal and organically advocate for the product.

Design thinking helps businesses develop innovative solutions that give them a competitive advantage.

Gain a competitive advantage in your business with Design Thinking: The Ultimate Guide .

The evolution of Design Thinking can be summarised in 8 key events from the 1960s to 2004.

© Interaction Design Foundation, CC BY-SA 4.0.

Herbert Simon’s 1969 book, "The Sciences of the Artificial," has one of the earliest references to design thinking. David Kelley, founder of the design consultancy IDEO, coined the term “design thinking” and helped make it popular.

For a more comprehensive discussion on the origins of design thinking, see The History of Design Thinking .

Some organizations that have employed design thinking successfully are:

Airbnb: Airbnb used design thinking to create a platform for people to rent out their homes to travelers. The company focused on the needs of both hosts and guests . The result was a user-friendly platform to help people find and book accommodations.

PillPack: PillPack is a prescription home-delivery system. The company focused on the needs of people who take multiple medications and created a system that organizes pills by date and time. Amazon bought PillPack in 2018 for $1 billion .

Google Creative Lab: Google Creative Lab collaborated with IDEO to discover how kids physically play and learn. The team used design thinking to create Project Bloks . The project helps children develop foundational problem-solving skills "through coding experiences that are playful, tactile and collaborative.”

See more examples of design thinking and learn practical methods in Design Thinking: The Ultimate Guide .

Innovation essentially means a new idea. Design thinking is a problem-solving methodology that helps teams develop new ideas. In other words, design thinking can lead to innovation.

Human-Centered Design is a newer term for User-Centered Design

“Human-centred design is an approach to interactive systems development that aims to make systems usable and useful by focusing on the users, their needs and requirements, and by applying human factors/ergonomics, and usability knowledge and techniques. This approach enhances effectiveness and efficiency, improves human well-being, user satisfaction, accessibility and sustainability; and counteracts possible adverse effects of use on human health, safety and performance.”

— ISO 9241-210:2019(en), ISO (the International Organization for Standardization)  

User experience expert Don Norman describes human-centered design (HCD) as a more evolved form of user-centered design (UCD). The word "users" removes their importance and treats them more like objects than people. By replacing “user” with “human,” designers can empathize better with the people for whom they are designing. Don Norman takes HCD a step further and prefers the term People-Centered Design.

Design thinking has a broader scope and takes HCD beyond the design discipline to drive innovation.

People sometimes use design thinking and human-centered design to mean the same thing. However, they are not the same. HCD is a formal discipline with a specific process used only by designers and usability engineers to design products. Design thinking borrows the design methods and applies them to problems in general.

Design Sprint condenses design thinking into a 1-week structured workshop

Google Ventures condensed the design thinking framework into a time-constrained 5-day workshop format called the Design Sprint. The sprint follows one step per day of the week:

Monday: Unpack

Tuesday: Sketch

Wednesday: Decide

Thursday: Prototype

Friday: Test

Learn more about the design sprint in Make Your UX Design Process Agile Using Google’s Methodology .

Systems Thinking is a distinct discipline with a broader approach to problem-solving

“Systems thinking is a way of exploring and developing effective action by looking at connected wholes rather than separate parts.”

— Introduction to Systems thinking, Report of GSE and GORS seminar, Civil Service Live

Both HCD and Systems Thinking are formal disciplines. Designers and usability engineers primarily use HCD. Systems thinking has applications in various fields, such as medical, environmental, political, economic, human resources, and educational systems.

HCD has a much narrower focus and aims to create and improve products. Systems thinking looks at the larger picture and aims to change entire systems.

Don Norman encourages designers to incorporate systems thinking in their work. Instead of looking at people and problems in isolation, designers must look at them from a systems point of view.

In summary, UCD and HCD refer to the same field, with the latter being a preferred phrase.

Design thinking is a broader framework that borrows methods from human-centered design to approach problems beyond the design discipline. It encourages people with different backgrounds and expertise to work together and apply the designer’s way of thinking to generate innovative solutions to problems.

Systems thinking is another approach to problem-solving that looks at the big picture instead of specific problems in isolation.

The design sprint is Google Ventures’ version of the design thinking process, structured to fit the design process in 1 week.

There are multiple design thinking frameworks, each with a different number of steps and phase names. One of the most popular frameworks is the Stanford d.School 5-stage process.

Design thinking is an iterative and non-linear process. It contains five phases: 1. Empathize, 2. Define, 3. Ideate, 4. Prototype and 5. Test. It is important to note the five stages of design thinking are not always sequential. They do not have to follow a specific order, and they can often occur in parallel or be repeated iteratively. The stages should be understood as different modes which contribute to the entire design project, rather than sequential steps.

For more details, see The 5 Stages in the Design Thinking Process .

IDEO is a leading design consultancy and has developed its own version of the design thinking framework and adds the dimension of implementation in the process.

IDEO’s framework uses slightly different terms than d.school’s design thinking process and adds an extra dimension of implementation. The steps in the DeepDive™ Methodology are: Understand, Observe, Visualize, Evaluate and Implement.

IDEO’s DeepDive™ Methodology includes the following steps:

Understand: Conduct research and identify what the client needs and the market landscape

Observe: Similar to the Empathize step, teams observe people in live scenarios and conduct user research to identify their needs and pain points.

Visualize: In this step, the team visualizes new concepts. Similar to the Ideate phase, teams focus on creative, out-of-the-box and novel ideas.

Evaluate: The team prototypes ideas and evaluates them. After refining the prototypes, the team picks the most suitable one.

Implement: The team then sets about to develop the new concept for commercial use.

IDEO’s DeepDive™ is one of several design thinking frameworks. Find out more in 10 Insightful Design Thinking Frameworks: A Quick Overview .

Answer a Short Quiz to Earn a Gift

What are the stages in the design thinking process?

• Brainstorm, Prototype, Design, Launch, Test
• Define, Ideate, Research, Design, Test
• Empathize, Define, Ideate, Prototype, Test

Why is empathy critical in the design thinking process?

• It allows designers to understand and address the real needs of users.
• It helps designers maintain control over the creative process.
• It makes sure the solution is inexpensive and easy to create.

What is the primary purpose of the prototyping phase in design thinking?

• To explore potential solutions and how they might work in real-world situations
• To finalize the product design for mass production
• To sell the idea to stakeholders with a high-fidelity (hi-fi) demonstration

What is a "wicked problem" in design thinking?

• Problems that are complex, ill-defined and have no single correct answer.
• Problems that are straightforward and have a clear, single solution.
• Problems that are tricky, but can be solved quickly with conventional methods.

Why is the iterative process important in design thinking?

• It allows design teams to use up all available resources.
• It allows for the improvement of solutions based on user feedback and testing.
• It makes sure the solution remains unchanged throughout development.

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Literature on Design Thinking (DT)

Here’s the entire UX literature on Design Thinking (DT) by the Interaction Design Foundation, collated in one place:

Learn more about Design Thinking (DT)

Take a deep dive into Design Thinking (DT) with our course Design Thinking: The Ultimate Guide .

Some of the world’s leading brands, such as Apple, Google, Samsung, and General Electric, have rapidly adopted the design thinking approach, and design thinking is being taught at leading universities around the world, including Stanford d.school, Harvard, and MIT. What is design thinking, and why is it so popular and effective?

Design Thinking is not exclusive to designers —all great innovators in literature, art, music, science, engineering and business have practiced it. So, why call it Design Thinking? Well, that’s because design work processes help us systematically extract, teach, learn and apply human-centered techniques to solve problems in a creative and innovative way—in our designs, businesses, countries and lives. And that’s what makes it so special.

The overall goal of this design thinking course is to help you design better products, services, processes, strategies, spaces, architecture, and experiences. Design thinking helps you and your team develop practical and innovative solutions for your problems. It is a human-focused , prototype-driven , innovative design process . Through this course, you will develop a solid understanding of the fundamental phases and methods in design thinking, and you will learn how to implement your newfound knowledge in your professional work life. We will give you lots of examples; we will go into case studies, videos, and other useful material, all of which will help you dive further into design thinking. In fact, this course also includes exclusive video content that we've produced in partnership with design leaders like Alan Dix, William Hudson and Frank Spillers!

This course contains a series of practical exercises that build on one another to create a complete design thinking project. The exercises are optional, but you’ll get invaluable hands-on experience with the methods you encounter in this course if you complete them, because they will teach you to take your first steps as a design thinking practitioner. What’s equally important is you can use your work as a case study for your portfolio to showcase your abilities to future employers! A portfolio is essential if you want to step into or move ahead in a career in the world of human-centered design.

Design thinking methods and strategies belong at every level of the design process . However, design thinking is not an exclusive property of designers—all great innovators in literature, art, music, science, engineering, and business have practiced it. What’s special about design thinking is that designers and designers’ work processes can help us systematically extract, teach, learn, and apply these human-centered techniques in solving problems in a creative and innovative way—in our designs, in our businesses, in our countries, and in our lives.

That means that design thinking is not only for designers but also for creative employees , freelancers , and business leaders . It’s for anyone who seeks to infuse an approach to innovation that is powerful, effective and broadly accessible, one that can be integrated into every level of an organization, product, or service so as to drive new alternatives for businesses and society.

You earn a verifiable and industry-trusted Course Certificate once you complete the course. You can highlight them on your resume, CV, LinkedIn profile or your website .

All open-source articles on Design Thinking (DT)

What is design thinking and why is it so popular.

• 1.6k shares

Personas – A Simple Introduction

• 1.5k shares

Stage 2 in the Design Thinking Process: Define the Problem and Interpret the Results

• 1.3k shares

What is Ideation – and How to Prepare for Ideation Sessions

Affinity Diagrams: How to Cluster Your Ideas and Reveal Insights

• 2 years ago

Stage 4 in the Design Thinking Process: Prototype

• 1.2k shares
• 4 years ago

Empathy Map – Why and How to Use It

Stage 3 in the Design Thinking Process: Ideate

• 5 years ago

Stage 1 in the Design Thinking Process: Empathise with Your Users

What Is Empathy and Why Is It So Important in Design Thinking?

10 Insightful Design Thinking Frameworks: A Quick Overview

Define and Frame Your Design Challenge by Creating Your Point Of View and Ask “How Might We”

5 Common Low-Fidelity Prototypes and Their Best Practices

Design Thinking: Get Started with Prototyping

The History of Design Thinking

• 1.1k shares

Design Thinking: New Innovative Thinking for New Problems

Test Your Prototypes: How to Gather Feedback and Maximize Learning

UX Roles: The Ultimate Guide – Who Does What and Which One You Should Go For?

• 3 weeks ago

What Are Wicked Problems and How Might We Solve Them?

Stage 5 in the Design Thinking Process: Test

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