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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Barrier Analysis |  Knowledge Modeling Competency Questions |  Operations Causal Factor 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 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. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 2-4 h | 2-4 h | 2-6 h |
Participantsdifferent | 1-4 | 2-6 | 2-8 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | Knowledge graphValidationSemantic | Root causeSafetyIncident | OntologyKnowledge graphScopeRequirementsSemantic | CausalityIncidentRoot causeTimeline |