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| Criterion |  Product Strategy DIBB |  Product Strategy ICE Scoring |  Product Discovery Riskiest Assumption Test |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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 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. | 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. |
Complexitydifferent | Low | Low | Medium | Low |
Timedifferent | 1-2 h | 30-60 min | 1-2 Wochen pro Iteration | 30-60 min |
Participantsdifferent | 2-8 | 2-8 | 2-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | ICE Table, Top Idea List | Prioritized Assumption List, Test Plan, Results Report | Completed Experiment Canvas, Success Metric |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | PrioritizationScoringGrowthDecision | ExperimentsValidationDiscoveryAssumptions | ExperimentsValidationDiscoveryHypothesis |