These prompts help you build research-based user personas with AI assistance. Each prompt includes placeholders in [brackets] — replace them with your project specifics before running. The prompts work with ChatGPT, Claude, or any general-purpose LLM.
Research data synthesis for persona inputs
I have conducted [N] user interviews about [product/topic]. Below are the key excerpts from each interview.
[Paste excerpts or full transcripts, labeled Participant 1, Participant 2, etc.]
Analyze this data for persona building:
1. List all goals mentioned by participants, grouped by frequency
2. List all pain points, grouped by frequency
3. Identify 5-8 behavioral variables where participants differ from each other (e.g., frequency of use, decision-making style, technical confidence)
4. For each behavioral variable, show where each participant falls (e.g., "Participant 3: high technical confidence, weekly use, autonomous decision-maker")
5. Suggest 3-5 candidate persona clusters based on participants who share similar patterns across most variables
6. For each cluster, provide: a one-sentence description, the key goals and pain points, and 2-3 supporting quotes from the data
Do not invent data. If a participant did not address a variable, mark it as "unknown."Persona document drafting
Based on the following user research cluster, draft a complete persona document.
Cluster description: [describe the behavioral cluster — shared goals, pain points, behaviors]
Supporting data: [paste key quotes and data points from 3-5 participants in this cluster]
Product context: [what the product does and who it serves]
Write a persona document with:
1. Name: a realistic first name that is easy to remember
2. One-line role description (job title + key context)
3. Demographics: only attributes relevant to product use (role, experience level, technical proficiency, industry)
4. Goals: 3-4 specific goals, ranked by importance
5. Pain points: 3-4 frustrations with the current situation
6. Behaviors: how this persona currently approaches the task the product addresses — tools, workarounds, habits
7. Quote: a composite or real quote that captures this persona's attitude in one sentence
8. Scenario: a 3-5 sentence narrative showing this persona encountering and using the product in a realistic weekday situation
Rules:
- Do not add details not supported by the research data
- Keep the total length under 400 words
- Use plain language, not marketing speakPersona set review and gap analysis
I have created [N] personas for [product]. Here are the persona documents:
[Paste all persona documents]
Review this persona set:
1. Check for overlaps: are any two personas too similar in goals, behaviors, or pain points? If so, suggest how to merge or differentiate them
2. Check for gaps: based on the product context, are there user types that are likely missing? (e.g., a non-user persona, an admin persona, a churned-user persona)
3. Check for internal consistency: does each persona's scenario match their stated goals and pain points?
4. Check for unnecessary details: flag any demographic or personal details that would not affect a design decision
5. Suggest a prioritization: which persona should be primary (designed for first) and why? Which could be secondary or excluded?
Product context: [describe the product, its market, and its primary value proposition]Proto persona workshop preparation
I am running a proto persona workshop with [N] team members for [product].
Context:
- Product: [describe what it does]
- Known user segments: [list any known segments or assumptions]
- Workshop duration: [2-4 hours]
- Participants: [roles of workshop attendees]
Create workshop materials:
1. A brief introduction explaining what personas are and why we are creating them (5-minute script)
2. A blank persona template with fields: name, role, goals (3), pain points (3), behaviors (3), quote
3. Instructions for the individual creation phase (15 min): each participant creates 2-3 proto personas
4. Instructions for the group discussion phase (45 min): how to compare, merge, and refine into 3-5 shared personas
5. A prioritization exercise: how to vote on which persona is primary
6. A list of 5 discussion questions to surface hidden assumptions (e.g., "What do we think we know about this user that we have never actually verified?")