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| Criterion |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Intervention Mapping |  Systems Thinking Future Reality Tree |  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. | 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. | 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. | 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 | High | High | Medium |
Timedifferent | Halber Tag pro Domain Slice | 1-5 Tage | 2-4 h | 2-4 h |
Participantsdifferent | 1-4 | 4-12 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphValidationSemantic | ChangeSystems thinkingCapability | Theory of ConstraintsSystems thinkingChange | OntologyKnowledge graphScopeRequirementsSemantic |