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| Criterion |  Knowledge Modeling Shape-First Modeling |  Business Strategy 5-Minuten VC-Check |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 5-15 min | 1-3 h | 2-4 h |
Participantsdifferent | 1-4 | 1-5 | 3-12 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | 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 | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | StartupValidationCompetition | KnowledgeMappingRisk | OntologyKnowledge graphScopeRequirementsSemantic |