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| Criterion |  Engineering Failure Scenario Analysis |  Systems Thinking Evaporating Cloud |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-3 h | 60-120 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop | Async | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | FailureResilienceRisk | Theory of ConstraintsAssumptionsSystems thinking | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |