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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations 5 Whys |  Operations Barrier Analysis |  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 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. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. | 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 | Low | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 15-30 min | 2-4 h | 1-4 h |
Participantsdifferent | 1-4 | 2-6 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Root cause notes, Countermeasures | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Knowledge graphValidationSemantic | Root causeIncidentLeanProblem solving | Root causeSafetyIncident | Root causeProblem solvingQualityIncident |