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| Criterion |  Growth A/B Testing |  Product Strategy RICE Scoring |  Product Discovery Smoke Test |  Product Strategy ICE Scoring |
|---|---|---|---|---|
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. | 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 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 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 | High | Medium | Low | Low |
Timedifferent | 1-4 Wochen | 60-90 min | 1-5 Tage | 30-60 min |
Participantsdifferent | 1-6 | 2-10 | Nutzertraffic | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | RICE Scores, Ranked List, Assumption Log | Interest Metrics, Conversion Signal, Learning Note | ICE Table, Top Idea List |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringRoadmapTradeoffs | ValidationExperimentsDemandGrowth | PrioritizationScoringGrowthDecision |