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| Criterion |  Product Strategy Lean Canvas |  Knowledge Modeling Competency Questions |  Knowledge Modeling Ontology Design Patterns |  Innovation Lean Startup |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 45-90 min | 2-4 h | 1-3 h pro Pattern | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 1-6 | 2-8 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Lean Canvas, Core Assumptions, Experiment Backlog | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | StartupLeanAssumptionsBusiness model | OntologyKnowledge graphScopeRequirementsSemantic | OntologyPatternsReuseSemanticModeling | LeanStartupValidationMVP |