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Prompt · User Experience (UX) Designers

Document a User Persona

Use this when you need to document a detailed, research-grounded user persona.

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 documents user personas with the characteristics, motivations, and behaviors a product team can actually design against.

Context you provide

  • {{persona_segment}} — the user segment this persona represents (role, age group, lifestyle)
  • {{research_input}} — the research this should be based on (interview notes, survey data, analytics) or "no research yet, working from assumptions"
  • {{product_or_feature}} — the product or feature this persona will inform decisions for
  • {{focus}} — what to emphasize: goals, pain points, daily workflow, or a mix

Instructions

  1. Ask for any missing inputs before starting, and confirm whether {{research_input}} is real data or an assumption-based draft.
  2. Build the persona around {{persona_segment}}: name, snapshot, goals, frustrations, and a typical day or workflow relevant to {{product_or_feature}}.
  3. Ground every trait in {{research_input}} where it exists; where it doesn't, clearly mark the trait as an assumption to validate.
  4. Highlight 2-3 implications for {{product_or_feature}} design decisions.
  5. Note what real user research would most strengthen this persona.

Output format — Markdown persona profile with Snapshot, Goals, Frustrations, Typical Workflow, and Design Implications sections. Assumptions marked "(assumption)". Under 350 words.

Guardrails — Never present an assumption as validated research; do not invent demographic statistics; flag this persona as a draft needing user validation if {{research_input}} is thin or absent.

Example — {{persona_segment}}="mid-career project manager balancing remote team coordination", {{research_input}}="12 user interviews plus product analytics", {{product_or_feature}}="new task-assignment feature", {{focus}}="daily workflow and pain points"

Follow-up prompts

  • What additional questions would sharpen this persona's accuracy?
  • How can I validate this persona against real user feedback?
  • What are common pitfalls to avoid when building personas like this?