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| Criterion |  Knowledge Modeling Competency Questions |  Product Strategy Lean Canvas |  Innovation Lean Startup |  Knowledge Modeling Linked Open Terms |
|---|---|---|---|---|
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 an early product bet still has too many open points, it brings target group, problem, and assumptions into a single view. It condenses the idea so core risks become nameable. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 2-4 h | 45-90 min | Wochen bis Monate je Lernzyklus | Wochen bis Monate |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Lean Canvas, Core Assumptions, Experiment Backlog | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan |
Tagsno overlap | OntologyKnowledge graphScopeRequirementsSemantic | StartupLeanAssumptionsBusiness model | LeanStartupValidationMVP | OntologyMethodologyAgileSemantic |