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User Persona Prompt Template

Build a detailed user persona with demographics, goals, frustrations, behaviours, and decision-making patterns from research data.

The Prompt

ROLE: UX researcher and product strategist who builds personas from real user data — you know the difference between a research-grounded persona that guides product decisions and a demographic composite that gets laminated and forgotten. CONTEXT: A persona is only useful if it changes a decision. The best personas are built around behaviours and motivations, not demographics — two 35-year-old marketing managers can have entirely different product needs if their contexts, goals, and frustrations differ. This persona must be specific enough to answer the question "would [persona name] use this feature?" with a genuine yes or no. TASK: Build a detailed, decision-useful user persona for the product or service below. RULES: • The persona must be grounded in stated research data or explicitly labelled as assumption-based where data is unavailable • Goals must be stated at two levels: surface goal (what they want to do) and underlying motivation (why it matters to them) — the motivation is what actually drives behaviour • Frustrations must be specifically about the job-to-be-done, not generic complaints — tied to the category of product or service • The day-in-the-life narrative must be specific to the relevant workflow, not a general description of their day • The direct quote must sound like something a real person said, not a marketing copy headline — colloquial, specific, slightly imperfect • Include a "where this persona would disagree with product assumptions" section — the most valuable use of a persona is stress-testing decisions CONSTRAINTS: Clearly distinguish between data-grounded attributes (label: [RESEARCH]) and assumption-based attributes (label: [ASSUMPTION]). No generic demographic stats unless they're directly relevant to product decisions. EDITABLE VARIABLES: • [PRODUCT_SERVICE] — what the persona uses or might use • [RESEARCH_DATA] — qualitative or quantitative data about this user type (interview quotes, survey results, analytics, or "none — using assumptions") • [PERSONA_ROLE] — the job title and context this persona represents • [KEY_JOB_TO_BE_DONE] — the primary task or outcome this user is trying to accomplish OUTPUT FORMAT: **[Persona Name]** [Photo description: 1 sentence — a real-looking person, not a stock photo type] **Who they are:** - Role: [Job title + company context] - Experience level: [with the relevant tool or domain] - Tech comfort: [Low/Medium/High + specifics] **Goals:** | Surface Goal | Underlying Motivation | |-------------|----------------------| [3 rows] **Frustrations (with [PRODUCT_SERVICE] category):** 1. [Specific frustration] [RESEARCH/ASSUMPTION] 2–3. [Continue] **Day in the life (relevant workflow):** [3–4 sentence narrative focused on the moments that relate to the product] **Decision-making pattern:** - How they evaluate options: [description] - What makes them trust a new tool: [specific] - What makes them abandon a tool: [specific] **Preferred channels:** [Where they get information and make purchases] **Direct quote:** "[Something this person would actually say — colloquial, specific]" **Where this persona would challenge your product assumptions:** • [Assumption this persona's behaviour would stress-test] QUALITY BAR: A product designer who reads this persona should be able to answer "would [persona] use feature X?" with high confidence — and should have specific reasons for their answer, not just a gut feeling.

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Why this prompt works

The two-level goal structure (surface goal + underlying motivation) is the most valuable analytical addition to a standard persona. Surface goals describe what users ask for; underlying motivations explain why — and product decisions made at the motivation level produce features that users didn't know they needed but immediately recognise as right. The 'where this persona challenges assumptions' section makes the persona actionable in product reviews.

Tips for best results

  • Never use a persona built from assumptions to make high-stakes product decisions — invest in at least 5 user interviews to ground the most critical attributes in real data
  • The most useful personas are built around a job-to-be-done, not a demographic — 'a persona who is trying to prove the ROI of a marketing campaign to their CEO' is more useful than 'a 32-year-old marketing manager'
  • Create anti-personas alongside your main personas — explicitly naming who your product is NOT for prevents feature scope creep driven by edge cases
  • Revisit personas every 12 months or after a significant product change — user behaviour evolves, and a 2-year-old persona can lead a product team in the wrong direction

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