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| Criterion |  Product Strategy DIBB |  Product Strategy RICE Scoring |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Decision Matrix |
|---|---|---|---|---|
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 initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | 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 several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 1-2 h | 60-90 min | 60-90 min | 45-90 min |
Participantsdifferent | 2-8 | 2-10 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | RICE Scores, Ranked List, Assumption Log | Prioritization Canvas, Hypothesis Backlog | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | PrioritizationScoringRoadmapTradeoffs | ExperimentsPrioritizationDiscoveryHypothesis | DecisionCriteriaScoringTradeoffs |