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| Criterion |  Growth A/B Testing |  Product Strategy RICE Scoring |  Product Discovery Assumption Mapping |
|---|---|---|---|
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 1-4 Wochen | 60-90 min | 45-60 min |
Participantsdifferent | 1-6 | 2-10 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | RICE Scores, Ranked List, Assumption Log | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringRoadmapTradeoffs | AssumptionsRiskExperimentsValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
