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| Criterion |  Product Discovery Experiment Canvas |  Product Discovery Assumption Mapping |  Decision Making Assumption Surfacing |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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 | Low | Medium | Low | Low |
Timedifferent | 30-60 min | 45-60 min | 45-90 min | 1-2 h |
Participantsdifferent | 1-5 | 2-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Assumption map, Test backlog, Risk ranking | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ExperimentsValidationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |