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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Fishbone Diagram |  Operations Root Cause Analysis |  Operations Failure Mode and Effects 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. | 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. | 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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 30-60 min | 1-4 h | 2-6 h |
Participantsdifferent | 1-4 | 2-8 | 3-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Fishbone Diagram, Cause Categories, Investigation Backlog | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | FMEA Table, Risk Priority, Mitigation Actions |
Tagsno overlap | Knowledge graphValidationSemantic | Root causeQualityOperations | Root causeProblem solvingQualityIncident | RiskQualityOperationsRoot cause |