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| Criterion |  Engineering Failure Scenario Analysis |  Product Discovery Smoke Test |  Decision Making Pre-Mortem |  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. | 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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | 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 | Low | Low | High |
Timedifferent | 1-3 h | 1-5 Tage | 20–45 min | 1-4 Wochen |
Participantsdifferent | 3-8 | Nutzertraffic | Small cross-functional group | 1-6 |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Interest Metrics, Conversion Signal, Learning Note | Risk list, Mitigation plan, Assumption log | Experiment results, Decision log, Learning summary |
Tagsno overlap | FailureResilienceRisk | ValidationExperimentsDemandGrowth | RiskDecisionFailurePlanning | ExperimentsGrowthAnalyticsValidation |