Research Question Generator
Enter your research topic, pick a field and a question type — descriptive, comparative or causal — and get four starter research questions, each with a suggested study design. Honest templates, no AI: your topic and field are slotted into proven question frames, and narrowing them to a question you can actually answer is your job. Free, no sign-up.
Descriptive
Explores what, who, or how much. Ideal for surveys and observational studies.
Comparative
Examines differences between groups or variables.
Causal / Experimental
Investigates cause-and-effect relationships between variables.
How to Use the Research Question Generator
- Enter a topic. Write it as a short noun phrase, such as remote work or sea-level rise, because it is dropped into the middle of each question. Long phrases or whole sentences read badly.
- Choose a field and a question type. The field (Psychology, Education, Business and others) is added to the question; if yours is not listed, leave it blank, because choosing Other writes the word “Other” into the sentence. Descriptive asks what, who or how much; Comparative looks at differences between groups; Causal / Experimental asks about cause and effect.
- Press Generate Research Questions. Four numbered questions appear, each with a suggested methodology and a Copy button.
- Edit before you use one. Narrow the topic, name the population and the outcome, and check that the question can be answered with data you can collect.
The Three Question Types
| Type | Asks | Suggested designs the tool names |
|---|---|---|
| Descriptive | what, who, how much, how often | interview or survey studies, descriptive quantitative surveys, literature reviews |
| Comparative | how groups, settings or conditions differ | comparative cross-sectional, quasi-experimental and multi-site case studies |
| Causal / Experimental | whether one thing changes another | randomized experiments, longitudinal cohort studies, path analysis |
The methodology line under each question is a starting suggestion for you to discuss with your supervisor, not a design that will suit every topic.
Worked Example
With the topic remote work, the field Business and the type Descriptive, the tool gives four questions: What are the key characteristics of remote work as observed in Business? (suggested: qualitative survey or interview study); How do practitioners in Business currently perceive remote work? (cross-sectional survey or phenomenological study); What is the prevalence of remote work among populations studied in Business? (descriptive quantitative survey); and What factors contribute to remote work according to current Business research? (systematic literature review or meta-analysis). Choose Causal / Experimental and the first becomes What is the effect of remote work on measurable outcomes in Business? (randomized controlled experiment). If you pick no field the tool writes “the field”, and with an empty topic it keeps the placeholder [your topic].
From a Template to a Good Question
A usable question is clear, focused and researchable, and it needs analysis rather than a yes or no. A popular checklist for judging one, from clinical research design, is FINER: is it feasible with your time and resources, interesting to you and your readers, novel enough to add something, ethical, and relevant to your field? Take a generated question and sharpen it in three steps:
- Narrow the topic. “Effect of remote work on measurable outcomes” becomes “effect of fully remote work on self-reported job satisfaction among software developers”.
- Name the outcome and the group. Replace “measurable outcomes” and “participants” with the variable you will measure and the people you will study.
- Check the method fits. A causal question needs a design that can support causal claims; a descriptive question does not. If you cannot name a design, the question is still too broad.
Which Tool Do You Need?
- A topic and field to starter questions: this page.
- Variables to testable statements: Hypothesis Generator.
- A clinical question in PICO form: PICO Question Generator. A qualitative or evidence-synthesis question: SPIDER Question Generator.
- Questions to ask participants: Survey Question Generator.
- An argument for an essay: Thesis Statement Generator.
Frequently Asked Questions
- What types of research questions can I generate?
- Three: descriptive questions (what, who, how much), comparative questions (differences between groups or settings) and causal questions (cause and effect). Each type gives four questions with a suggested methodology.
- How do I choose the right type of research question?
- Use descriptive questions when little is known and you want to map a topic, comparative questions when you want to examine differences between groups, and causal questions when your design can test cause and effect, such as an experiment. Your design decides the type, so choose it before you commit to the question.
- What makes a good research question?
- It is clear, focused and researchable: specific enough to answer within your time and resources, complex enough that the answer is not a simple yes or no, and relevant to your field. The FINER checklist — feasible, interesting, novel, ethical, relevant — is a quick test.
- Can I use these research questions for my dissertation?
- Treat them as starting points. The tool slots your topic into standard question frames, so refine each one against your literature review, your data and your supervisor’s advice before it goes into a proposal.
- Is this AI?
- No. These are fixed templates with your topic and field filled in. They do not read the literature or know whether your question has been answered before.
- What is the difference between a research question and a hypothesis?
- A research question asks what you want to find out; a hypothesis is a testable statement that answers it, written about measurable variables. Quantitative studies often have both. Build the hypothesis with the Hypothesis Generator once the question is settled.