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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations Kepner-Tregoe |  Knowledge Modeling Competency Questions |  Facilitation Decision Jam |
|---|---|---|---|---|
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 disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. | 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. | When a decision is stuck, Decision Jam loosens the knot through structured separation of problem, idea, and selection. The format creates movement without jumping prematurely at the first seemingly elegant answer. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | Halber Tag pro Domain Slice | 2-8 h | 2-4 h | 60-90 min |
Participantsdifferent | 1-4 | 2-8 | 2-8 | 4-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Problem Analysis, Decision Analysis, Risk Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Problem Cluster, Prioritized Challenge, Experiment |
Tagsno overlap | Knowledge graphValidationSemantic | Problem solvingRoot causeDecisionOperations | OntologyKnowledge graphScopeRequirementsSemantic | FacilitationDecisionProblem solvingWorkshop |