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| Criterion |  Engineering Failure Scenario Analysis |  Product Discovery Smoke Test |  Growth A/B Testing |  Growth Funnel Analysis |
|---|---|---|---|---|
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 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 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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 1-3 h | 1-5 Tage | 1-4 Wochen | 1-3 h |
Participantsdifferent | 3-8 | Nutzertraffic | 1-6 | 1-5 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Funnel report, Drop-off analysis, Optimization hypotheses |
Tagsno overlap | FailureResilienceRisk | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | AnalyticsConversionGrowth |