Skill

affinity-diagram

Organizes qualitative research data from interviews, observations, or surveys into affinity diagrams with clusters, themes, insight statements, and prioritization.

design

npx claudepluginhub owl-listener/designer-skills --plugin design-research

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/design-research:affinity-diagram

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Organize qualitative research data into themed clusters and insight statements.

SKILL.md

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Similar Skills

affinity-diagram

Organize qualitative research data into an affinity diagram with themes, clusters, and insight statements. Use when synthesizing large amounts of qualitative data from interviews, observations, or surveys.

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Synthesizes user research from interviews, surveys, feedback into themes, prioritized findings by frequency/impact, and roadmap recommendations.

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Parent stars1,307

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Last CommitMar 14, 2026

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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

Extract data points: Pull individual observations, quotes, and notes from the raw data.

Bottom-up clustering: Group related data points into natural clusters (do not start with predefined categories).

Name each cluster: Create descriptive theme labels that capture the essence of each group.

Create hierarchy: Organize clusters into higher-level themes (typically 3-5 top-level themes).

Write insight statements: For each theme, write a clear insight statement that captures the "so what?"

Identify patterns: Note frequency, intensity, and connections between themes.

Prioritize: Rank insights by impact on design decisions.

Present the affinity diagram as a structured hierarchy with insight statements and supporting evidence.