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| Criterion |  Growth A/B Testing |  Engineering Failure Scenario Analysis |  Decision Making Pre-Mortem |  Product Discovery Smoke 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. | 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. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | High | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 1-3 h | 20–45 min | 1-5 Tage |
Participantsdifferent | 1-6 | 3-8 | Small cross-functional group | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Risk list, Mitigation plan, Assumption log | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | FailureResilienceRisk | RiskDecisionFailurePlanning | ValidationExperimentsDemandGrowth |