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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Kepner-Tregoe |  Knowledge Modeling Competency Questions |  Operations 8D Problem Solving |
|---|---|---|---|---|
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 a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 2-8 h | 2-4 h | 1-6 Wochen |
Participantsdifferent | 1-4 | 2-8 | 2-8 | 4-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Problem Analysis, Decision Analysis, Risk Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan |
Tagsno overlap | Knowledge graphValidationSemantic | Problem solvingRoot causeDecisionOperations | OntologyKnowledge graphScopeRequirementsSemantic | QualityProblem solvingRoot cause |