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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Failure Mode and Effects Analysis |  Operations Root Cause Analysis |  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. | 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. | 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 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 | High | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 2-6 h | 1-4 h | 2-8 h |
Participantsdifferent | 1-4 | 3-10 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | FMEA Table, Risk Priority, Mitigation Actions | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | Knowledge graphValidationSemantic | RiskQualityOperationsRoot cause | Root causeProblem solvingQualityIncident | Problem solvingRoot causeDecisionOperations |