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| Criterion |  UX Research Affinity Diagramming |  Product Discovery Experiment Canvas |  Product Discovery Fake Door Test |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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 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. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Low | Low | Medium | Medium |
Timedifferent | 45–90 min | 30-60 min | 1-5 Tage | 45-75 min |
Participantsdifferent | 3-10 | 1-5 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Completed Experiment Canvas, Success Metric | Click Data, Interest Signal, Learning Decision | Test Matrix, Test Plan |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsValidationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryOptions |