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| Criterion |  Product Discovery Opportunity Scoring |  Product Strategy DIBB |  Product Discovery Opportunity Solution Tree |
|---|---|---|---|
Purposedifferent | When opportunities need ranking by their effect, it makes importance and satisfaction directly comparable. It separates problem, assumption, solution, and evidence. The result is captured as an opportunity-score table and top outcomes. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. |
Complexitydifferent | Medium | Low | Medium |
Timedifferent | 60-120 min | 1-2 h | 1-2 h Setup, laufend |
Participantsdifferent | 3-6 | 2-8 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Score Table, Top Outcomes | DIBB document, Belief list, Bet list, Learning report | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | PrioritizationDiscoveryOutcomesNeeds | StrategyDecisionAssumptionsHypothesis | DiscoveryOutcomesExperimentsOpportunity |
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