affinity-diagram

Original：🇺🇸 English
Translated

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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affinity-diagramqualitative-researchux-researchdata-synthesisdesign-insights

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