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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Red Teaming |  Decision Making Cynefin Workshop |
|---|---|---|---|
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. | 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. | When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-4 h | 60-180 min |
Participantsdifferent | 1-4 | 3-8 | 4-20 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Challenge Findings, Risk Register, Mitigation Plan | Cynefin Map, Domain-specific Actions, Sensemaking Notes |
Tagsno overlap | Knowledge graphValidationSemantic | RiskDecisionSensemaking | ComplexitySensemakingDecision |
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