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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Change Analysis |  Operations 8D Problem Solving |  Operations Root Cause Analysis |
|---|---|---|---|---|
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. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | Halber Tag pro Domain Slice | 45-120 min | 1-6 Wochen | 1-4 h |
Participantsdifferent | 1-4 | 2-6 | 4-10 | 3-8 |
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 | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Knowledge graphValidationSemantic | ChangeRoot causeTroubleshootingComparison | QualityProblem solvingRoot cause | Root causeProblem solvingQualityIncident |