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| Criterion |  UX Research Affinity Diagramming |  Architecture Architecture Decision Record |  Product Discovery Opportunity Solution Tree |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable. | When discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | Low | Medium | Medium |
Timedifferent | 45–90 min | 15-45 min | 1-2 h Setup, laufend | 1-5 Tage |
Participantsdifferent | 3-10 | 1-3 | 2-6 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | ADR File, Decision Log, Rationale | Opportunity Solution Tree, Experiment Backlog, Learning Log | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | SynthesisQualitativeRoot cause | ArchitectureRationaleDocumentationGovernance | DiscoveryOutcomesExperimentsOpportunity | ValidationExperimentsDemandDiscovery |