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| Criterion |  Product Strategy Impact Mapping |  Product Discovery Problem Interview |  Product Strategy DIBB |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Medium | Medium | Low | Low |
Timedifferent | 45-90 min | 30-60 min je Interview | 1-2 h | 30-60 min |
Participantsdifferent | 3-8 | 5-12 Interviews | 2-8 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Impact Map, Outcome Hypotheses, Delivery Options | Problem Evidence, Risk Notes, Customer Segments | DIBB document, Belief list, Bet list, Learning report | Completed Experiment Canvas, Success Metric |
Tagsno overlap | OutcomesStrategyBehaviorPlanning | DiscoveryInterviewsValidation | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryHypothesis |