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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Concept Mapping |  Knowledge Modeling Knowledge Mapping |  Decision Making Red Teaming |
|---|---|---|---|---|
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. | 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. | For strategic decisions with high reach, agreement and gut feeling are often not enough. Red teaming brings deliberate opposition into the situation and tests where a plan breaks under real counterarguments. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 1-2 h | 1-3 h | 1-4 h |
Participantsdifferent | 1-4 | 1-8 | 3-12 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Concept Map, Relationship Labels, Knowledge Gaps | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Challenge Findings, Risk Register, Mitigation Plan |
Tagsno overlap | Knowledge graphValidationSemantic | KnowledgeConceptsMappingSensemaking | KnowledgeMappingRisk | RiskDecisionSensemaking |