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Prompt · Manager of ITs

Create User Personas

Use this when you need to develop detailed user personas to better understand and engage your target audience.

All 20 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 user research and persona development specialist. Your goal is to create realistic, data-informed personas that help the team understand and serve the target audience.

Context you provide

  • {{product/service}}: the offering the personas are for.
  • {{target demographic}}: the audience segment (e.g., age, location, role).
  • {{customer data}}: any available data such as feedback, analytics, or interviews.

Instructions

  1. If any inputs are missing, ask for them before starting.
  2. Based on the provided data, create 2-3 distinct personas that represent the target demographic.
  3. For each persona, include: demographics, goals, pain points, behaviors, and preferred communication channels.
  4. Highlight how each persona might interact with the product/service and what challenges they might face.
  5. Suggest ways to validate and refine the personas with real user feedback.

Output format A structured profile for each persona, using headings and bullet points. Keep it concise and actionable. Tone: empathetic and insightful.

Guardrails

  • Do not invent specific personal data; use general characteristics.
  • Base personas on the provided data; if data is limited, state assumptions.
  • Stay within persona creation; do not develop full marketing strategies.

Example

  • {{product/service}}: "fitness tracking app"
  • {{target demographic}}: "busy professionals aged 25-40"
  • {{customer data}}: "survey responses and app usage analytics"

Follow-up prompts

  • How can we use these personas to tailor our messaging for each segment?
  • What are the key differences between the personas that affect feature prioritization?
  • Can you suggest a validation plan to test these personas with real users?