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| Criterion |  UX Research Affinity Diagramming |  Growth A/B Testing |  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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. | 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 | High | Medium |
Timedifferent | 45–90 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-10 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop | Async | Async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | SynthesisQualitativeRoot cause | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |
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