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Prompt · UX/UI Designers

Affinity Diagramming from Research

Use this when you need to organize qualitative research data into themes for UX insights.

All 16 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 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

  1. If any required context is missing, ask for it before proceeding.
  2. Read through the provided research data, identifying key quotes, observations, and recurring topics.
  3. Group these findings into logical themes based on the focus areas and natural patterns in the data.
  4. For each theme, provide a descriptive label and a summary of the evidence supporting it.
  5. Highlight any surprising or contradictory findings that may require further investigation.
  6. 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?