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| Criterion |  Product Discovery Opportunity Solution Tree |  Product Strategy ICE Scoring |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | 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 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 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 | Low | High |
Timedifferent | 1-2 h Setup, laufend | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-6 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | ICE Table, Top Idea List | Experiment results, Decision log, Learning summary |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | PrioritizationScoringGrowthDecision | ExperimentsGrowthAnalyticsValidation |
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