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| Criterion |  Knowledge Modeling Competency Questions |  Product Discovery Opportunity Solution Tree |  Product Discovery Experiment Canvas |
|---|---|---|---|
Purposedifferent | 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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | 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 | Medium | Medium | Low |
Timedifferent | 2-4 h | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | 2-8 | 2-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Opportunity Solution Tree, Experiment Backlog, Learning Log | Completed Experiment Canvas, Success Metric |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | DiscoveryOutcomesExperimentsOpportunity | ExperimentsValidationDiscoveryHypothesis |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
