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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Product Strategy Lean Canvas |  Knowledge Modeling Ontology Design Patterns |  Innovation Lean Startup |
|---|---|---|---|---|
Purposedifferent | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. | 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. | 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 | 4-8 h initial, dann iterativ | 45-90 min | 1-3 h pro Pattern | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 1-6 | 1-6 | 1-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Lean Canvas, Core Assumptions, Experiment Backlog | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | Knowledge graphModelingSemantic | StartupLeanAssumptionsBusiness model | OntologyPatternsReuseSemanticModeling | LeanStartupValidationMVP |