Research ScientistExperimental Design and MethodologyBeginnerSingle prompt

Research Question Sharpener AI Prompt

Help me sharpen my research question into one that is specific, answerable, and well-scoped. My current research question: {{research_question}} Field: {{field}} 1. Diagnose the... Copy this prompt template, run it in your AI tool, and use related prompts to continue the workflow.

Prompt text
Help me sharpen my research question into one that is specific, answerable, and well-scoped.

My current research question: {{research_question}}
Field: {{field}}

1. Diagnose the current question:
   Evaluate it on these dimensions:
   - Specificity: is it clear exactly what is being measured, in whom, under what conditions?
   - Answerability: can empirical data actually answer this question?
   - Scope: is it too broad (requires 10 studies to answer) or too narrow (trivial to answer)?
   - Novelty: has this been answered already? What would a new answer add?
   - Feasibility: can this be studied with available methods, data, and resources?

2. Apply the PICO / PECO framework:
   For clinical/experimental research use PICO:
   - Population (P): who are the participants? Define inclusion and exclusion criteria.
   - Intervention / Exposure (I/E): what is being done to or observed about the participants?
   - Comparator (C): what is the comparison condition? (active control, placebo, no treatment, alternative exposure level)
   - Outcome (O): what is being measured? Specify primary outcome and key secondary outcomes.

   For non-clinical research, adapt:
   - Sample: who or what are the units of analysis?
   - Variable of interest: what is the key predictor, exposure, or condition?
   - Comparison: is there a meaningful baseline or contrast?
   - Measure: how will the outcome be operationalized?

3. Operationalize the key constructs:
   - For each key term in the research question: how will it be measured or defined?
   - Are there multiple valid operationalizations? Which will you choose and why?
   - What is the unit of analysis: individual, group, organization, country, time point?

4. Write 3 refined versions:
   - Version A: most conservative scope (definitely answerable with one study)
   - Version B: target scope (the version you should aim for)
   - Version C: ambitious scope (if the study goes well and you can extend it)

5. The one-sentence research question:
   Write the final research question as a single sentence suitable for the introduction of a paper: 'This study examines whether/how/what [relationship] between [variable X] and [variable Y] in [population] under [conditions].'

When to use this prompt

Use case 01

Use it when you want to begin experimental design and methodology work without writing the first draft from scratch.

Use case 02

Use it when you want a more consistent structure for AI output across projects or datasets.

Use case 03

Use it when you want prompt-driven work to turn into a reusable notebook or repeatable workflow later.

Use case 04

Use it when you want a clear next step into adjacent prompts in Experimental Design and Methodology or the wider Research Scientist library.

What the AI should return

The AI should return a structured result that covers the main requested outputs, such as Diagnose the current question:, Specificity: is it clear exactly what is being measured, in whom, under what conditions?, Answerability: can empirical data actually answer this question?. The final answer should stay clear, actionable, and easy to review inside a experimental design and methodology workflow for research scientist work.

How to use this prompt

1

Open your data context

Load your dataset, notebook, or working environment so the AI can operate on the actual project context.

2

Copy the prompt text

Use the copy button above and paste the prompt into the AI assistant or prompt input area.

3

Review the output critically

Check whether the result matches your data, assumptions, and desired format before moving on.

4

Chain into the next prompt

Once you have the first result, continue deeper with related prompts in Experimental Design and Methodology.

Frequently asked questions

What does the Research Question Sharpener prompt do?+

It gives you a structured experimental design and methodology starting point for research scientist work and helps you move faster without starting from a blank page.

Who is this prompt for?+

It is designed for research scientist workflows and marked as beginner, so it works well as a guided starting point for that level of experience.

What type of prompt is this?+

Research Question Sharpener is a single prompt. You can copy it as-is, adapt it, or use it as one step inside a larger workflow.

Can I use this outside MLJAR Studio?+

Yes. The prompt text works in other AI tools too, but MLJAR Studio is the best fit when you want local execution, visible Python code, and reusable notebooks.

What should I open next?+

Natural next steps from here are Confound Identification, Control Condition Designer, Full Study Design Chain.