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| Criterion |  Growth A/B Testing |  Product Strategy ICE Scoring |  Product Discovery Learning Card |  Growth Growth Experiment |
|---|---|---|---|---|
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 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. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 30-60 min | 25-40 min | 1-2 Wochen |
Participantsdifferent | 1-6 | 2-8 | 1-5 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List | Learning Card with evidence and next action | Experiment card, Result summary, Next bet |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision | ExperimentsValidationDiscoveryLearning | MarketingGrowthExperimentsLearning |