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| Criterion |  Product Discovery Hypothesis Prioritization Canvas |  Knowledge Modeling Competency Questions |  Knowledge Modeling NeOn Methodology |  Product Discovery Test Card |
|---|---|---|---|---|
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. | The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 60-90 min | 2-4 h | Mehrere Wochen bis Monate | 20-35 min |
Participantsdifferent | 3-8 | 2-8 | 2-10 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Prioritization Canvas, Hypothesis Backlog | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Test Card with a pre-set threshold |
Tagsno overlap | ExperimentsPrioritizationDiscoveryHypothesis | OntologyKnowledge graphScopeRequirementsSemantic | OntologyMethodologyReuseSemanticEngineering | ExperimentsValidationDiscoveryHypothesis |