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| Criterion |  Knowledge Modeling Shape-First Modeling |  Decision Making Eisenhower Matrix |  Operations A3 Problem Solving |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Halber Tag pro Domain Slice | 15-30 min | 45-90 min | 2-4 h |
Participantsdifferent | 1-4 | 1-6 | 2-5 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Eisenhower Matrix, Action List, Delegation Notes | A3 Report, Action Plan, Root Cause Analysis | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | PrioritizationFocusTasks | LeanProblem solvingCoachingOperations | OntologyKnowledge graphScopeRequirementsSemantic |