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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Change Analysis |  Operations 8D Problem Solving |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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 deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | Halber Tag pro Domain Slice | 45-120 min | 1-6 Wochen | 2-4 h |
Participantsdifferent | 1-4 | 2-6 | 4-10 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Change Matrix, Cause Hypotheses, Validation Questions, Action List | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | ChangeRoot causeTroubleshootingComparison | QualityProblem solvingRoot cause | OntologyKnowledge graphScopeRequirementsSemantic |