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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Concept Mapping |  Product Discovery Assumption Mapping |  Knowledge Modeling Knowledge Mapping |
|---|---|---|---|---|
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. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-2 h | 45-60 min | 1-3 h |
Participantsdifferent | 1-4 | 1-8 | 2-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Concept Map, Relationship Labels, Knowledge Gaps | Assumption map, Test backlog, Risk ranking | Knowledge Map, Critical Knowledge Areas, Transfer Plan |
Tagsno overlap | Knowledge graphValidationSemantic | KnowledgeConceptsMappingSensemaking | AssumptionsRiskExperimentsValidation | KnowledgeMappingRisk |