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| Criterion | ![]() Product Discovery Context Canvas | ![]() Knowledge Modeling Competency Questions | ![]() Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | When an environment of users, systems, and constraints is hard to grasp, it puts the context compactly on the table. It creates a clear reading of influence, boundary, and dependency. | 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. | 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 | 45-90 min | 2-4 h | 1-2 h |
Participantsdifferent | 3-10 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Context canvas, Open questions, Shared context notes | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ContextFramingRequirementsCanvas | OntologyKnowledge graphScopeRequirementsSemantic | StrategyDecisionAssumptionsHypothesis |
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