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| Criterion |  Growth A/B Testing |  UX Research Affinity Diagramming |  UX Research Empathy Mapping |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 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 a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. | 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 | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 45–90 min | 30–60 min | 1-5 Tage |
Participantsdifferent | 1-6 | 3-10 | 4-8 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Theme clusters, Insight statements, Opportunity areas | Empathy Map, Assumptions List, Research Gaps | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | SynthesisQualitativeRoot cause | SynthesisQualitativeWorkshop | ValidationExperimentsDemandDiscovery |