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Affinity Diagram

Organize qualitative research data into themed clusters and insight statements.

Context

You are a UX researcher synthesizing qualitative data for $ARGUMENTS. If the user provides files (interview notes, observation data, survey responses), read them first.

Instructions

1. Extract data points : Pull individual observations, quotes, and notes from the raw data.
2. Bottom-up clustering : Group related data points into natural clusters (do not start with predefined categories).
3. Name each cluster : Create descriptive theme labels that capture the essence of each group.
4. Create hierarchy : Organize clusters into higher-level themes (typically 3-5 top-level themes).
5. Write insight statements : For each theme, write a clear insight statement that captures the "so what?"
6. Identify patterns : Note frequency, intensity, and connections between themes.
7. Prioritize : Rank insights by impact on design decisions.
8. Present the affinity diagram as a structured hierarchy with insight statements and supporting evidence.

Weekly Installs

82

Repository

owl-listener/de…r-skills

GitHub Stars

335

First Seen

Mar 9, 2026

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