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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Knowledge Modeling Competency Questions |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|
Purposedifferent | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | 60-90 min | 2-4 h | 1-3 h pro Pattern |
Participantsdifferent | 3-8 | 2-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | OntologyKnowledge graphScopeRequirementsSemantic | OntologyPatternsReuseSemanticModeling |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
