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| Criterion |  Product Strategy DIBB |  Product Strategy ICE Scoring |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Riskiest Assumption Test |
|---|---|---|---|---|
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 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. | 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. |
Complexitydifferent | Low | Low | Medium | Medium |
Timedifferent | 1-2 h | 30-60 min | 60-90 min | 1-2 Wochen pro Iteration |
Participantsdifferent | 2-8 | 2-8 | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | ICE Table, Top Idea List | Prioritization Canvas, Hypothesis Backlog | Prioritized Assumption List, Test Plan, Results Report |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | PrioritizationScoringGrowthDecision | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryAssumptions |