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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Red Teaming |  Product Discovery Assumption Mapping |  Decision Making Argument 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. | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-4 h | 45-60 min | 1-3 h |
Participantsdifferent | 1-4 | 3-8 | 2-8 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Challenge Findings, Risk Register, Mitigation Plan | Assumption map, Test backlog, Risk ranking | Argument Map, Evidence Gaps, Decision Rationale |
Tagsno overlap | Knowledge graphValidationSemantic | RiskDecisionSensemaking | AssumptionsRiskExperimentsValidation | SensemakingDecisionRationale |