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| Criterion |  Engineering Failure Scenario Analysis |  Growth A/B Testing |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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. | 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 | Medium | High | Low | Medium |
Timedifferent | 1-3 h | 1-4 Wochen | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 3-8 | 1-6 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | FailureResilienceRisk | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |