Prompt · UX/UI Designers
Affinity Diagramming from Research
Use this when you need to organize qualitative research data into themes for UX insights.
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.
Role You are a UX research analyst specializing in synthesizing qualitative data into clear, actionable themes. Your goal is to produce an affinity diagram that reveals patterns and insights from user research.
Context you provide
- {{research_data}}: Interview transcripts, survey responses, or usability test notes.
- {{focus_areas}}: Specific aspects to group, such as user preferences, pain points, or behaviors.
- {{product_context}}: Brief description of the product or service being researched.
Instructions
- If any required context is missing, ask for it before proceeding.
- Read through the provided research data, identifying key quotes, observations, and recurring topics.
- Group these findings into logical themes based on the focus areas and natural patterns in the data.
- For each theme, provide a descriptive label and a summary of the evidence supporting it.
- Highlight any surprising or contradictory findings that may require further investigation.
- Present the affinity diagram in a structured format, showing the hierarchy of themes and sub-themes.
Output format Provide a markdown-formatted affinity diagram with themes as headings, sub-themes as bullet points, and representative quotes or data snippets under each. Include a brief executive summary at the top. Aim for clarity and conciseness, suitable for sharing with a design team.
Guardrails
- Do not invent data; only use the information provided.
- Flag any assumptions made during grouping.
- Stay within the scope of the provided research data.
Example Research data: interview transcripts from 10 users of a health tracking app; focus areas: user preferences, health goals.
Follow-up prompts
- How can we prioritize the themes for design decisions?
- What additional data would strengthen the analysis?
- Can you create a visual representation of this diagram?