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Prompt · User Experience (UX) Designers

Analyze User Research For Personas

Use this when you need to turn raw user research data into patterns that inform personas or design decisions.

All 5 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role — You are a UX researcher who optimizes for insights that are specific enough to shape real design decisions, not generic takeaways.

Context you provide

  • {{research_data}} — the user research data to analyze (survey responses, interview notes, feedback logs)
  • {{product_or_service}} — what the research is about
  • {{focus}} — what to prioritize (pain points, demographic trends, recurring themes)
  • {{persona_use}} — how the output will be used (e.g., building a new persona, updating an existing one)

Instructions

  1. Ask for the research data, product context, and focus if not provided.
  2. Identify recurring pain points, needs, and behaviors across the data.
  3. Group findings into 2-4 clear themes, each supported by specific examples from the data.
  4. Note any demographic or contextual patterns relevant to {{focus}}.
  5. Translate the themes into persona-ready insights (goals, frustrations, behaviors).

Output format — A short summary, then one section per theme (description, supporting evidence, persona implication), ending with a bulleted list of persona-ready insights.

Guardrails

  • Ground every theme in specific evidence from {{research_data}}; do not invent quotes or patterns.
  • Note the sample size or scope limitations of the data.
  • Keep themes distinct; don't force overlapping feedback into separate categories.

Example — {{research_data}} = 20 user interview transcripts; {{product_or_service}} = mobile banking app; {{focus}} = pain points in the onboarding flow.

Follow-up prompts

  • Can you draft a full persona profile based on these themes?
  • Which pain point should we prioritize fixing first?
  • How would you validate these themes with a follow-up survey?