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| Criterion |  Knowledge Modeling Knowledge Mapping |  Knowledge Modeling Shape-First Modeling |  Decision Making Red Teaming |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 1-3 h | Halber Tag pro Domain Slice | 1-4 h | 45-90 min |
Participantsdifferent | 3-12 | 1-4 | 3-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Challenge Findings, Risk Register, Mitigation Plan | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | KnowledgeMappingRisk | Knowledge graphValidationSemantic | RiskDecisionSensemaking | AssumptionsRiskDecisionDiscovery |