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| Criterion |  Product Strategy DIBB |  Product Strategy RICE Scoring |  Product Discovery Hypothesis Prioritization Canvas |  Product Strategy ICE Scoring |
|---|---|---|---|---|
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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. |
Complexitydifferent | Low | Medium | Medium | Low |
Timedifferent | 1-2 h | 60-90 min | 60-90 min | 30-60 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 | ICE Table, Top Idea List |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | PrioritizationScoringRoadmapTradeoffs | ExperimentsPrioritizationDiscoveryHypothesis | PrioritizationScoringGrowthDecision |