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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Causal Factor Analysis |  Operations Barrier Analysis |  Operations MORT 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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. | 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. | 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. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 2-6 h | 2-4 h | Mehrere Tage bis Wochen |
Participantsdifferent | 1-4 | 3-10 | 2-6 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations |
Tagsno overlap | Knowledge graphValidationSemantic | CausalityIncidentRoot causeTimeline | Root causeSafetyIncident | Root causeSafetySystemicIncident |