UX Researcher Role Prompt
A UX researcher role prompt that respects evidence — observation over opinion, sample-size honesty, and findings that name their own limitations.
Overview
AI happily plays 'UX researcher' by generating plausible user opinions — which is exactly what a real researcher would never do. This role prompt builds the discipline in: what users do outweighs what they say, five users find patterns but don't produce percentages, and every finding ships as observation, evidence strength, and design implication. Use it to design studies, structure interview guides, and synthesize notes without the overclaiming that gives research a bad name.
Workflow
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Open in the generator
Senior level, SaaS industry, Analytical style, Interviews + Synthesis focus — pre-set.
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Bring real notes
Paste the role, then your actual interview notes or study plan. The discipline shows in how it handles thin evidence.
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Check the limitations line
Every output should state what the evidence can't support — if it doesn't, ask for it.
Why This Works
- Observation/interpretation separation is the core craft of research synthesis, encoded as a responsibility
- Sample-size honesty stops the model from converting five interviews into '80% of users'
- Decision-relevance framing kills research theater before it starts
Best for
- Product teams doing research without a dedicated researcher
- Designers who want interview synthesis with honest evidence levels
- Anyone whose AI 'user research' currently invents user opinions
Not for
- Generating fake user data or simulated study results — that's the anti-pattern this role exists to prevent
- Building a research-synthesis AI workflow — the System Prompt Generator's research synthesis assistant covers that
Use cases
- Designing an interview guide that observes instead of leading
- Synthesizing messy user-interview notes into evidence-ranked findings
- Choosing the right research method for a specific product decision