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| Criterion |  Growth Growth Experiment |  Product Strategy RICE Scoring |  Decision Making Decision Matrix |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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 | Medium | Medium | Medium | High |
Timedifferent | 1-2 Wochen | 60-90 min | 45-90 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 2-10 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Experiment card, Result summary, Next bet | RICE Scores, Ranked List, Assumption Log | Decision Matrix, Scoring Rationale, Selected Option | Experiment results, Decision log, Learning summary |
Tagsno overlap | MarketingGrowthExperimentsLearning | PrioritizationScoringRoadmapTradeoffs | DecisionCriteriaScoringTradeoffs | ExperimentsGrowthAnalyticsValidation |