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Designer-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.

install
source · Clone the upstream repo
git clone https://github.com/Owl-Listener/designer-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/Owl-Listener/designer-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/design-research/skills/affinity-diagram" ~/.claude/skills/owl-listener-designer-skills-affinity-diagram && rm -rf "$T"
manifest: design-research/skills/affinity-diagram/SKILL.md
source content

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.