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| Criterion |  Knowledge Modeling Linked Open Terms |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Assumption Mapping |
|---|---|---|---|
Purposedifferent | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitysame | Medium | Medium | Medium |
Timedifferent | Wochen bis Monate | 60-90 min | 45-60 min |
Participantsdifferent | 2-8 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Prioritization Canvas, Hypothesis Backlog | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | OntologyMethodologyAgileSemantic | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskExperimentsValidation |
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