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| Criterion |  Product Discovery Opportunity Solution Tree |  Decision Making Decision Matrix |  Product Strategy ICE Scoring |
|---|---|---|---|
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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. | 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. |
Complexitydifferent | Medium | Medium | Low |
Timedifferent | 1-2 h Setup, laufend | 45-90 min | 30-60 min |
Participantsdifferent | 2-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Decision Matrix, Scoring Rationale, Selected Option | ICE Table, Top Idea List |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | DecisionCriteriaScoringTradeoffs | PrioritizationScoringGrowthDecision |
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