How to Write a Research Question (Examples & Tips)
A research question is the specific, focused question your study is designed to answer. It determines the scope of your research, the methods you choose, and the data you collect. A well-formed research question makes your paper stronger from the first line; a vague one forces revisions at every stage. This guide explains how to write a research question, with examples for different types of research and a checklist to test your question before you begin.
For guidance on presenting your research once it is written, see our guide on how to write an abstract — the short overview of your study that most readers see first.
What is a research question?
A research question is the central question your research seeks to answer through investigation, data collection, and analysis. It is more specific than a topic (“climate change”) and more open than a hypothesis (“climate change increases hurricane frequency”). A research question sits in between: it identifies what you want to find out and implies how you might find it.
Good research questions are:
- Focused — narrow enough to answer in the scope of your project
- Researchable — answerable with available data or methods
- Original — not already answered conclusively in the literature
- Significant — worth answering for your field or audience
Types of research questions
Different studies call for different question types:
Descriptive — asks what something is or how common it is:
“What percentage of remote workers in the United States report experiencing digital fatigue?”
Comparative — asks how two or more things differ:
“How do students’ reading comprehension scores differ between digital and print formats?”
Causal / explanatory — asks why something happens or what causes it:
“Does sleep deprivation affect short-term memory retention in university students?”
Exploratory — asks about an under-studied phenomenon without a predetermined direction:
“How do first-generation college students navigate academic identity during their first year?”
Quantitative research tends to use descriptive, comparative, and causal questions. Qualitative research tends to use exploratory, interpretive, and process-oriented questions.
How to write a research question
Step 1: Choose a broad topic
Start with the subject area that interests you or fits your assignment. The topic is not the research question — it is the starting point.
- Topic: social media and mental health
- Topic: workplace diversity programs
- Topic: antibiotic resistance in hospitals
Step 2: Review existing literature
Read what has already been studied. The gap in current research — what is unanswered, contested, or unexplored — is where your research question lives. You cannot identify a gap without knowing what is already there.
Step 3: Narrow your focus
A research question needs a specific population, context, time frame, or variable to be answerable. Take your broad topic and add constraints:
- Broad: “How does social media affect mental health?”
- Narrower: “How does daily Instagram use affect self-reported anxiety levels in women aged 18–25?”
Ask yourself: Who? Where? When? What aspect? The narrower the question, the more manageable the study.
Step 4: Frame the question clearly
Write the question in a form that matches your research type:
- Quantitative: “What is the relationship between X and Y in [population]?”
- Qualitative: “How do [people] experience [phenomenon] in [context]?”
- Causal: “Does X cause Y under [conditions]?”
Avoid yes/no questions — they lead to simple answers, not research. “Does exercise reduce depression?” is weak. “How does a 12-week aerobic exercise program affect depressive symptom scores in adults with mild-to-moderate depression?” is researchable.
Step 5: Test your question with a checklist
Before you commit, run your question through this check:
- Can I answer it with data I can realistically collect?
- Is it specific enough to complete in the scope of this project?
- Has it been answered thoroughly in existing literature? (If yes, narrow or shift)
- Is there a clear method implied by the question?
- Does answering it contribute something to the field?
If you answer “no” to any of these, revise the question before you begin.
Research question examples
Quantitative research question examples
“What is the effect of sleep duration on academic performance among high school students in urban schools?”
“How does employee participation in wellness programs correlate with sick-day frequency in mid-size manufacturing companies?”
“To what extent does increased social media screen time predict lower life-satisfaction scores in adults aged 25–40?”
Qualitative research question examples
“How do nurses in intensive care units describe the emotional impact of patient mortality on their professional identity?”
“What strategies do first-generation college students use to manage financial stress during their first semester?”
“How do small business owners in rural communities experience the transition to e-commerce?”
Mixed-methods research question examples
“What are the barriers to physical activity among elderly residents in assisted-living facilities, and how do self-reported barriers correlate with weekly step counts?”
Research question vs. hypothesis
A research question is open — it asks what you want to find out. A hypothesis is a specific prediction you make before collecting data — it states the expected relationship or outcome. Most quantitative studies move from a research question to a testable hypothesis; qualitative studies typically work with research questions throughout.
- Research question: “Does caffeine intake affect reaction time in drivers?”
- Hypothesis: “Drivers who consume 200mg of caffeine will show statistically significant faster reaction times than those who consume none.”
Common mistakes to avoid
- Too broad — “How does technology affect education?” cannot be answered in a single study.
- Yes/no format — leads to a simple answer, not genuine research.
- Already answered — always check the literature before committing to a question.
- No clear method implied — if you cannot picture how you would answer it, it needs narrowing.
- Multiple questions in one — stick to one central question; move secondary questions to sub-questions or future research.
Use AI to spot gaps in your draft
If you have research notes, a literature review draft, or a long article you are working from, paste the text into our free AI text summarizer to extract the key arguments and findings in seconds. Seeing the core claims at a glance helps you identify what is already answered — and where your research question can fill a gap.
Frequently asked questions
What is a research question? A research question is the specific, focused question a study is designed to answer through investigation and analysis. It is narrower than a topic and more open than a hypothesis.
What makes a good research question? A good research question is focused, researchable with available data or methods, original (not already conclusively answered), and significant to the field.
What is the difference between a research question and a hypothesis? A research question is open — it asks what you want to discover. A hypothesis is a specific, testable prediction of the expected outcome. Quantitative studies typically develop a hypothesis from the research question; qualitative studies often use research questions throughout.
How do I narrow a research question? Add specificity: define the population, time frame, context, or variable. “How does social media affect mental health?” becomes “How does daily TikTok use affect sleep quality in teenagers aged 13–17?”
Can I have more than one research question? Most studies have one primary research question and one to three sub-questions that support it. Avoid trying to answer too many unrelated questions in a single study — it weakens the focus of your research.