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| Criterion |  Product Strategy ICE Scoring |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Risk Matrix |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When a project faces many possible disruptions, it quickly becomes unclear which risks deserve attention first. It separates options, evaluation criteria, and open risks. The result is captured as a Risk Matrix and a Top Risk List. | 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 | Low | Medium | Low | High |
Timedifferent | 30-60 min | 60-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-8 | 3-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | ICE Table, Top Idea List | Prioritization Canvas, Hypothesis Backlog | Risk Matrix, Top Risk List | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringGrowthDecision | ExperimentsPrioritizationDiscoveryHypothesis | RiskDecisionPrioritizationAssessment | ExperimentsGrowthAnalyticsValidation |