User Persona Creation
Stakeholder-facing personas from research you already have. Do not invent demographics. Prefer Behavioral Persona From Research after affinity or insight statements; use this only when the room still wants a named persona card.
Prompt
Create detailed user personas based on the following research data:
[Paste research data: interviews, surveys, analytics, user observations]
For each persona, include:
1. Persona Overview
- Name and photo/avatar description
- Demographics (age, location, occupation, education)
- Quote that captures their essence
- Role and responsibilities
2. Goals and Motivations
- Primary goals (what they want to achieve)
- Secondary goals
- Motivations (why these goals matter)
- Success criteria
3. Pain Points and Frustrations
- Current pain points
- Frustrations with existing solutions
- Barriers to success
- Emotional responses
4. Behaviors and Habits
- How they currently solve problems
- Tools and platforms they use
- Information consumption habits
- Decision-making process
5. Needs and Expectations
- What they need from a solution
- Expectations and assumptions
- Desired outcomes
- Must-have vs. nice-to-have features
6. Context and Environment
- When and where they use products/services
- Physical and digital environment
- Constraints and limitations
- Influences and influencers
7. User Journey Touchpoints
- Key moments of interaction
- Emotional state at each touchpoint
- Opportunities for improvement
Format as detailed, realistic personas with specific details and quotes from research.How to use
- 1Run Affinity Mapping Assistant and Behavioral Persona From Research first. Only use this prompt if you still need a traditional persona one-pager. Never let the model invent age, job title, or quotes.
- 2Organize your research data: Collect interview transcripts, survey responses, analytics insights, or user observation notes
- 3Replace [Paste research data] with your organized data. Format: "Interview 1: [transcript]" "Survey responses: [data]" "Analytics insights: [findings]"
- 4Add context before the prompt: Describe your product and research goals. Example: "We're a B2B SaaS tool for project managers. Research goal: Understand how users manage multiple projects. Interviews: 10 participants."
- 5If you have existing personas: Paste your current personas. Say "Update these personas with new research: [paste personas] and [new research data]"
- 6Paste the modified prompt into your preferred AI tool, like ChatGPT or Claude (preferably with longer context if you have large datasets)
- 7Review the generated personas: Check demographics, goals, pain points, and behaviors
- 8Ask for refinements: Request "Create 2-3 personas from this data" or "Focus on primary vs secondary personas" or "Add more behavioral details"
- 9Export to your design tools: Copy personas to Figma, Miro, or your design system documentation
- 10Share with team: Use personas to align team around user needs and guide design decisions
Pro Tips
- • Include real user quotes: Paste interview quotes verbatim so personas feel authentic and grounded in research
- • Specify persona count: Mention "Create 2 primary personas" or "Create 3 personas (primary, secondary, edge case)"
- • For quantitative data: Include survey statistics (e.g., "80% of users said...") for data-driven personas
- • Request persona comparisons: Ask "Show differences between these personas" to identify unique needs
- • Save personas as templates: Reuse structure for future research by asking "Use the same format but for [new research]"
- • For behavior-first personas (JTBD, mental model, needs vs wants, no invented demographics), use Behavioral Persona From Research in Research.
