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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Opportunity Scoring |  Product Discovery Experiment Canvas |  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. | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 | Medium | Low | Medium |
Timedifferent | 45–90 min | 60-120 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-10 | 3-6 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Opportunity Score Table, Top Outcomes | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | SynthesisQualitativeRoot cause | PrioritizationDiscoveryOutcomesNeeds | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |