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| Criterion |  Decision Making Decision Tree |  Product Discovery Hypothesis Prioritization Canvas |  Product Strategy DIBB |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | 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. | 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 | Medium | Medium | Low | Low |
Timedifferent | 30-90 min | 60-90 min | 1-2 h | 45-90 min |
Participantsdifferent | 1-6 | 3-8 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Prioritization Canvas, Hypothesis Backlog | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | DecisionTreeOptions | ExperimentsPrioritizationDiscoveryHypothesis | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery |