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| Criterion |  Product Strategy DIBB |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Assumption Mapping |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 1-2 h | 60-90 min | 45-60 min | 45-90 min |
Participantsdifferent | 2-8 | 3-8 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Prioritization Canvas, Hypothesis Backlog | Assumption map, Test backlog, Risk ranking | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation | AssumptionsRiskDecisionDiscovery |