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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Fishbone Diagram |  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. | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | 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 | Low | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 30-60 min | 2-4 h | 1-6 Wochen |
Participantsdifferent | 1-4 | 2-8 | 2-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Fishbone Diagram, Cause Categories, Investigation Backlog | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan |
Tagsno overlap | Knowledge graphValidationSemantic | Root causeQualityOperations | OntologyKnowledge graphScopeRequirementsSemantic | QualityProblem solvingRoot cause |