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| Criterion | ![]() Knowledge Modeling Shape-First Modeling | ![]() Operations Fishbone Diagram | ![]() Operations 8D Problem Solving | ![]() Operations Kepner-Tregoe |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Medium | Low | High | High |
Timedifferent | Halber Tag pro Domain Slice | 30-60 min | 1-6 Wochen | 2-8 h |
Participantsdifferent | 1-4 | 2-8 | 4-10 | 2-8 |
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 | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | Knowledge graphValidationSemantic | Root causeQualityOperations | QualityProblem solvingRoot cause | Problem solvingRoot causeDecisionOperations |



