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| Criterion |  Knowledge Modeling Shape-First Modeling |  Operations A3 Problem Solving |  Knowledge Modeling Competency Questions |  Operations 5 Whys |
|---|---|---|---|---|
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 complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | Halber Tag pro Domain Slice | 45-90 min | 2-4 h | 15-30 min |
Participantsdifferent | 1-4 | 2-5 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | A3 Report, Action Plan, Root Cause Analysis | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Root cause notes, Countermeasures |
Tagsno overlap | Knowledge graphValidationSemantic | LeanProblem solvingCoachingOperations | OntologyKnowledge graphScopeRequirementsSemantic | Root causeIncidentLeanProblem solving |