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| Criterion |  Product Strategy RICE Scoring |  Growth A/B Testing |  Product Discovery Fake Door Test |  Product Strategy ICE Scoring |
|---|---|---|---|---|
Purposedifferent | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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. | 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 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. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 60-90 min | 1-4 Wochen | 1-5 Tage | 30-60 min |
Participantsdifferent | 2-10 | 1-6 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | RICE Scores, Ranked List, Assumption Log | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision | ICE Table, Top Idea List |
Tagsno overlap | PrioritizationScoringRoadmapTradeoffs | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery | PrioritizationScoringGrowthDecision |