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| Criterion |  Product Strategy DIBB |  Knowledge Modeling Competency Questions |  Product Discovery Experiment Canvas |  Product Discovery Test Card |
|---|---|---|---|---|
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. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 1-2 h | 2-4 h | 30-60 min | 20-35 min |
Participantsdifferent | 2-8 | 2-8 | 1-5 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Completed Experiment Canvas, Success Metric | Test Card with a pre-set threshold |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | OntologyKnowledge graphScopeRequirementsSemantic | ExperimentsValidationDiscoveryHypothesis | ExperimentsValidationDiscoveryHypothesis |