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| Criterion |  Growth A/B Testing |  Team Design Team API |  Product Discovery Smoke Test |  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 expectations between teams stay fuzzy, it describes how a team can be reached, used, and held accountable. It clarifies responsibility, interaction, and load between teams. The result is captured as a Team API document. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Half day initial, dann laufend | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 1-6 | Ein Team plus Stakeholder | Nutzertraffic | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Team API Document | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | TeamAlignmentCommunicationService | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |