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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Innovation Lean Startup |  Knowledge Modeling Competency Questions |  Product Strategy Lean Canvas |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 4-8 h initial, dann iterativ | Wochen bis Monate je Lernzyklus | 2-4 h | 45-90 min |
Participantsdifferent | 1-6 | 2-8 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Lean Canvas, Core Assumptions, Experiment Backlog |
Tagsno overlap | Knowledge graphModelingSemantic | LeanStartupValidationMVP | OntologyKnowledge graphScopeRequirementsSemantic | StartupLeanAssumptionsBusiness model |