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| Criterion |  Product Strategy ICE Scoring |  Product Discovery Opportunity Solution Tree |  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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 | High |
Timedifferent | 30-60 min | 1-2 h Setup, laufend | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | ICE Table, Top Idea List | Opportunity Solution Tree, Experiment Backlog, Learning Log | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationScoringGrowthDecision | DiscoveryOutcomesExperimentsOpportunity | ExperimentsGrowthAnalyticsValidation |
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