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| Criterion |  Growth A/B Testing |  Product Strategy ICE Scoring |  Product Discovery Learning Card |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 30-60 min | 25-40 min | 60-90 min |
Participantsdifferent | 1-6 | 2-8 | 1-5 | 3-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | ICE Table, Top Idea List | Learning Card with evidence and next action | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PrioritizationScoringGrowthDecision | ExperimentsValidationDiscoveryLearning | ExperimentsPrioritizationDiscoveryHypothesis |