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| Criterion |  Decision Making Pre-Mortem |  Product Strategy ICE Scoring |  Product Discovery Fake Door Test |  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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | Medium | High |
Timedifferent | 20–45 min | 30-60 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | Small cross-functional group | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Risk list, Mitigation plan, Assumption log | ICE Table, Top Idea List | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskDecisionFailurePlanning | PrioritizationScoringGrowthDecision | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |