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| Criterion |  Knowledge Modeling Shape-First Modeling |  Knowledge Modeling Knowledge Mapping |  Decision Making Argument 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. | 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. | When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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 | 1-3 h | 1-3 h | 1-4 h |
Participantsdifferent | 1-4 | 3-12 | 1-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Argument Map, Evidence Gaps, Decision Rationale | Challenge Findings, Risk Register, Mitigation Plan |
Tagsno overlap | Knowledge graphValidationSemantic | KnowledgeMappingRisk | SensemakingDecisionRationale | RiskDecisionSensemaking |