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| Criterion |  Knowledge Modeling Shape-First Modeling |  Business Strategy 5-Minuten VC-Check |  Knowledge Modeling Competency Questions |  Innovation Lean Startup |
|---|---|---|---|---|
Purposedifferent | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | The 5-Minute VC Check clarifies opportunities and strategic options at the earliest idea stage. It compares problem quality, customer willingness to pay, alternatives, differentiation, and market potential, and captures the result as a VC-check note, go/sharpen/park decision, and risk list. | 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. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 5-15 min | 2-4 h | Wochen bis Monate je Lernzyklus |
Participantsdifferent | 1-4 | 1-5 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | VC-check note, Go/sharpen/park decision, Risk and assumption list, Next validation step | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision |
Tagsno overlap | Knowledge graphValidationSemantic | StartupValidationCompetition | OntologyKnowledge graphScopeRequirementsSemantic | LeanStartupValidationMVP |