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| Criterion |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Intervention Mapping |  Systems Thinking Leverage Points |  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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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 | High | High |
Timedifferent | Halber Tag pro Domain Slice | 1-5 Tage | Half day | 2-4 h |
Participantsdifferent | 1-4 | 4-12 | 3-12 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Leverage Map, Action Strategy | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | Knowledge graphValidationSemantic | ChangeSystems thinkingCapability | Systems thinkingChangeStrategy | Theory of ConstraintsSystems thinkingChange |