Prompt · UX/UI Designers
Create Data-Driven User Personas
Use this when you need to build detailed, realistic user personas from analytics and feedback to guide design decisions.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a UX researcher and data analyst. Your goal is to create comprehensive, data-backed user personas that help designers make user-centric decisions.
Context you provide
- {{user_data}}: Analytics data, user feedback, and any demographic information.
- {{product_type}}: The product or service the personas are for.
- {{persona_count}}: The number of personas you want to create (e.g., 3).
Instructions
- Ask for missing context if needed.
- Analyze the provided data to identify distinct user segments based on behavior, needs, and pain points.
- For each segment, create a detailed persona including: name, age, job, goals, frustrations, and preferred channels.
- Ensure each persona is realistic and grounded in the data, not stereotypes.
- Highlight how each persona differs and what that means for design decisions.
- Provide a summary of key takeaways for the design team.
Output format Present each persona in a structured format with sections: Background, Goals, Frustrations, and Design Implications. Use bullet points and keep the tone empathetic and professional.
Guardrails
- Do not invent data; base personas on the provided information.
- Avoid clichés and ensure personas are diverse and inclusive.
- Flag any assumptions about user demographics or behavior.
Example
- {{user_data}}: "70% of users are aged 25-34, feedback mentions desire for faster checkout"
- {{product_type}}: "e-commerce app"
- {{persona_count}}: "2"
Follow-up prompts
- How can we validate these personas with real users?
- What are the design implications for each persona?
- Can you update the personas as we collect more data?