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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations MORT Analysis |  Operations 5 Whys |
|---|---|---|---|
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 safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | High | Low |
Timedifferent | Halber Tag pro Domain Slice | Mehrere Tage bis Wochen | 15-30 min |
Participantsdifferent | 1-4 | 2-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Root cause notes, Countermeasures |
Tagsno overlap | Knowledge graphValidationSemantic | Root causeSafetySystemicIncident | Root causeIncidentLeanProblem solving |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
