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| Criterion |  Growth A/B Testing |  Product Discovery Smoke Test |  Systems Thinking System Dynamics Simulation |  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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | System Dynamics Simulation makes assumptions about time, delay, and feedback testable through experiments. It draws relationships, patterns, and feedback loops. The result is captured as a simulation model and scenario reports. | 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 | High | Medium |
Timedifferent | 1-4 Wochen | 1-5 Tage | Mehrere Tage bis Wochen | 1-5 Tage |
Participantsdifferent | 1-6 | Nutzertraffic | 1-5 Modellierende, Stakeholder asynchron | Nutzertraffic |
Formatsame | Async | Async | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Simulation Model, Scenario Reports | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | Systems thinkingDynamicsSimulationAnalysis | ValidationExperimentsDemandDiscovery |