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| Criterion |  Systems Thinking Leverage Points |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Future Reality Tree |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
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. | 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 | High | Medium | High | Medium |
Timedifferent | Half day | Halber Tag pro Domain Slice | 2-4 h | 2-4 h |
Participantsdifferent | 3-12 | 1-4 | 3-8 | 2-8 |
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 | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Systems thinkingChangeStrategy | Knowledge graphValidationSemantic | Theory of ConstraintsSystems thinkingChange | OntologyKnowledge graphScopeRequirementsSemantic |