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| Criterion |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Intervention Mapping |  Knowledge Modeling Competency Questions |  Systems Thinking Future Reality Tree |
|---|---|---|---|---|
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. | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. | 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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | 1-5 Tage | 2-4 h | 2-4 h |
Participantsdifferent | 1-4 | 4-12 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | Knowledge graphValidationSemantic | ChangeSystems thinkingCapability | OntologyKnowledge graphScopeRequirementsSemantic | Theory of ConstraintsSystems thinkingChange |