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| Criterion |  Decision Making Pre-Mortem |  Product Discovery Smoke Test |  Decision Making Constraint Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 | Low | Low | Low | High |
Timedifferent | 20–45 min | 1-5 Tage | 30-90 min | 1-4 Wochen |
Participantsdifferent | Small cross-functional group | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Risk list, Mitigation plan, Assumption log | Interest Metrics, Conversion Signal, Learning Note | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskDecisionFailurePlanning | ValidationExperimentsDemandGrowth | ConstraintsDecisionPlanningOptions | ExperimentsGrowthAnalyticsValidation |