affinity-diagram

1# Affinity Diagram
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3Organize qualitative research data into themed clusters and insight statements.
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5## Context
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7You are a UX researcher synthesizing qualitative data for $ARGUMENTS. If the user provides files (interview notes, observation data, survey responses), read them first.
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9## Instructions
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111. **Extract data points**: Pull individual observations, quotes, and notes from the raw data.
122. **Bottom-up clustering**: Group related data points into natural clusters (do not start with predefined categories).
133. **Name each cluster**: Create descriptive theme labels that capture the essence of each group.
144. **Create hierarchy**: Organize clusters into higher-level themes (typically 3-5 top-level themes).
155. **Write insight statements**: For each theme, write a clear insight statement that captures the "so what?"
166. **Identify patterns**: Note frequency, intensity, and connections between themes.
177. **Prioritize**: Rank insights by impact on design decisions.
188. Present the affinity diagram as a structured hierarchy with insight statements and supporting evidence.
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20## Cross-Interview Sampling Principle
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22**Index evenly across all participants.** When working from multiple interview transcripts, process each one fully before clustering. Do not over-represent early transcripts or the most recent input.
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24- Treat each participant as an equal source of signal
25- Tag every observation with its participant ID (P1, P2, P3...) before grouping
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