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| Criterion | ![]() Product Discovery Opportunity Interview | ![]() UX Design Lean UX Canvas | ![]() Product Strategy DIBB | ![]() Product Discovery Opportunity Solution Tree |
|---|---|---|---|---|
Purposedifferent | 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. | The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment. | 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 | Medium | Low | Medium |
Timedifferent | 30-60 min je Interview | 2-3 h | 1-2 h | 1-2 h Setup, laufend |
Participantsdifferent | 5-12 Interviews | 3-8 | 2-8 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Opportunity Themes, Customer Quotes | Completed Lean UX Canvas, Hypothesis list, First experiment | DIBB document, Belief list, Bet list, Learning report | Opportunity Solution Tree, Experiment Backlog, Learning Log |
Tagsno overlap | DiscoveryInterviewsOpportunityCustomer | CanvasHypothesisOutcomesDiscovery | StrategyDecisionAssumptionsHypothesis | DiscoveryOutcomesExperimentsOpportunity |



