A bad research question wastes months. These 15 prompts walk a topic through the standard refinement moves — narrowing, variable mapping, PICO or PEO framing, feasibility checks — until you have a single FINER question you can defend in a meeting.
Who this is for
Honors thesis writers, MPhil and PhD candidates picking a project, capstone students, and clinicians drafting QI projects.
When not to use these prompts
Skip these when your question is already locked by a grant or supervisor; refining beyond constraints wastes time. Skip too if you have not skimmed at least 10 papers on the topic.
Prompt anatomy / structure formula
A refinement prompt should always carry six elements:
- Role: who the AI plays — research tutor, peer reviewer, exam coach, debate partner, librarian.
- Context: your level, subject, deadline, paper count, target citation style, course or program.
- Goal: one concrete deliverable — 12 quiz items, a 1-page lit matrix, 5 counter-arguments, a 4-week revision plan.
- Constraints: word count, depth, source types allowed, what to skip, what to never claim.
- Output format: numbered list, table, JSON, or graded blocks (E / M / H) so you can paste into Notion / Anki / Word.
- Examples / signal: 1-2 reference paragraphs or anti-examples (“not the way Wikipedia explains it”).
Best for
- Honors / MPhil / PhD topic narrowing
- Grant application question section
- Capstone project scoping
- QI (quality improvement) project framing
- Class research paper proposals
15 copy-ready prompt templates
1. Topic → 5 narrower questions
First-pass narrowing; produces working candidates.
You are a research methods professor. My topic is "{topic}" in {field}. Generate 5 candidate research questions that narrow this topic, each more specific along a different dimension (population, time, setting, mechanism, comparator). For each: 1-sentence question plus 1-sentence rationale.Variables to swap: topic, field
Optimization: If candidates remain vague, add: “Each question must specify at least one of: population, time, setting, comparator. No abstract framings.”
2. PICO formatter (clinical / health)
Convert my research interest "{interest}" into a PICO-formatted question: Population, Intervention, Comparator, Outcome. Output 3 candidate PICO formulations and note which would be most feasible given my constraint of {constraint}.3. PEO formatter (qualitative)
For my qualitative interest "{interest}", produce 3 PEO-formatted questions: Population, Exposure / Experience, Outcome / theme of interest. Note the methodological tradition (phenomenology, ethnography, grounded theory) that best matches each.4. Variable map
For my candidate research question "{question}", identify: independent variable(s), dependent variable(s), key moderators, potential confounders, and the unit of analysis. Output as a table.5. FINER feasibility audit
Audit my research question "{question}" on FINER criteria: Feasible (time, sample access, instruments), Interesting (to whom), Novel (vs prior literature), Ethical, Relevant (to whom). Score each 1-5 with a 1-line justification. End with one revision suggestion.6. Operationalization probe
For my question "{question}", how would I operationalize each construct? Suggest 2 candidate measures per construct, citing one prior study that used each.7. Scope-creep detector
Below is my current research question draft and a list of "things I also want to study". Identify which extras would blow scope; suggest which to defer to a follow-up study and which can be folded into the primary question.
Question: {paste}
Extras: {paste list}8. Stakeholder framing
My question "{question}" matters to which stakeholders ({researchers, practitioners, policymakers, patients, students})? For each, what 1-sentence answer they would want from my study. Mark which framing fits a thesis vs a paper vs a policy brief.9. Comparison-pair refinement
My current question compares {A vs B} in {setting}. Suggest 3 alternative comparator framings (different baseline, different intervention magnitude, different population) and the trade-off each implies.10. Hypothesis derivation
For the research question "{question}", state 2-3 specific hypotheses that follow. For each: directional or non-directional, what data would test it, what would constitute a "null" result.11. “Already-answered” check
Has my question "{question}" likely been answered already? List 3 search strings I should run, the kinds of sources I should check, and 2 indicators that the question is settled vs still open.12. One-paragraph specific aims
Convert my research question "{question}" into a 200-word specific-aims paragraph: long-term goal, overall objective, central hypothesis, 2-3 specific aims, expected impact. Voice: NIH-style if applicable.13. Mentor-pitch script
I have 2 minutes with my mentor. Write a 200-word script pitching the research question "{question}": why it matters (1 sentence), what is known (2 sentences), the gap (1 sentence), the question, the method (1 sentence), feasibility (1 sentence). End with the 1 ask I should make.14. Refinement diff
Below is my old question and my new question after refinement. Identify the moves I made (narrowed population, added comparator, swapped outcome) and any remaining weaknesses.
Old: {paste}
New: {paste}15. Final FINER one-liner
Refine my draft question into a single-sentence FINER-compliant research question. Include population, comparator (if any), outcome, and time-frame. Max 30 words. Topic: "{topic}". Draft: "{draft}".Common mistakes
- Stopping at “I want to study X” — that is a topic, not a question.
- Skipping PICO / PEO when a structured frame would have cut weeks of confusion.
- Ignoring feasibility until late — questions that pass FINER on paper still need real-world access.
- Not naming a comparator; without a contrast you have description, not investigation.
- Forgetting to check whether someone already answered the question.
- Letting the question expand to cover everything you find interesting; scope creep kills projects.
- Treating the refined question as final; expect to revise it 3-5 times before fieldwork.
How to push results further
- Always write at least 5 candidate questions before picking one (template 1).
- Pair refinement with feasibility (template 5); the best question you cannot execute is a bad question.
- Operationalize early (template 6); if you cannot measure it, your question is fuzzy.
- Run “already answered” check (template 11) before committing.
- Keep a “deferred questions” file for the extras you cut; they often become your next study.
- Bring 3 candidate questions to the mentor meeting, not one; you will leave with better options.
- Revise the question after the first 5 papers, after IRB submission, and after data collection starts.
FAQ
- How specific should a research question be?: Specific enough that the data needed to answer it is identifiable in one sentence. If not, refine further.
- Does every field need PICO?: No — PICO is health-specific. PEO fits qualitative work. Other fields use IV-DV framings or theoretical questions.
- How long does refinement take?: For a thesis, 2-4 weeks of iteration is normal. Less than a week usually means under-refined.
- Can AI write my research question?: No. It can generate candidates, audit feasibility, and reframe. You must choose, ground in literature, and defend.
- What if my mentor wants a different question?: Bring 3 refined candidates and the trade-offs. Mentors push back better when you have done the work.