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| Criterion |  Product Discovery Opportunity Solution Tree |  Product Discovery Opportunity Interview |  Decision Making Assumption Surfacing |  Product Strategy DIBB |
|---|---|---|---|---|
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 opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 1-2 h Setup, laufend | 30-60 min je Interview | 45-90 min | 1-2 h |
Participantsdifferent | 2-6 | 5-12 Interviews | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Opportunity Themes, Customer Quotes | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | DiscoveryInterviewsOpportunityCustomer | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |