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| Criterion |  Product Discovery Experiment Canvas |  Product Discovery MVP Test Matrix |  Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | 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. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. | 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. |
Complexitydifferent | Low | Medium | Low |
Timedifferent | 30-60 min | 45-75 min | 1-2 h |
Participantsdifferent | 1-5 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Completed Experiment Canvas, Success Metric | Test Matrix, Test Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryOptions | StrategyDecisionAssumptionsHypothesis |
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