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.
--- name: affinity-diagram description: 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. --- # 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.