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| Criterion |  Product Strategy ICE Scoring |  Product Discovery Smoke Test |  Decision Making Pre-Mortem |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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 | Low | Low | Low | High |
Timedifferent | 30-60 min | 1-5 Tage | 20–45 min | 1-4 Wochen |
Participantsdifferent | 2-8 | Nutzertraffic | Small cross-functional group | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | ICE Table, Top Idea List | Interest Metrics, Conversion Signal, Learning Note | Risk list, Mitigation plan, Assumption log | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringGrowthDecision | ValidationExperimentsDemandGrowth | RiskDecisionFailurePlanning | ExperimentsGrowthAnalyticsValidation |