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| Criterion |  Systems Thinking Leverage Points |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Future Reality Tree |  Systems Thinking Intervention Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | 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. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | Half day | Halber Tag pro Domain Slice | 2-4 h | 1-5 Tage |
Participantsdifferent | 3-12 | 1-4 | 3-8 | 4-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Logic Model, Change Objectives, Intervention Components, Evaluation Plan |
Tagsno overlap | Systems thinkingChangeStrategy | Knowledge graphValidationSemantic | Theory of ConstraintsSystems thinkingChange | ChangeSystems thinkingCapability |