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| Criterion |  Systems Thinking Leverage Points |  Knowledge Modeling Linked Open Terms |  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. | Linked Open Terms connects terminology work with linked-data thinking and makes terminology technically connectable. Vocabulary, meanings, and references can thereby be maintained consistently. | 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 | Wochen bis Monate | 2-4 h | 2-4 h |
Participantsdifferent | 3-12 | 2-8 | 3-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Ontology Requirements, Conceptual Model, Published Ontology, Documentation, Maintenance Plan | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Systems thinkingChangeStrategy | OntologyMethodologyAgileSemantic | Theory of ConstraintsSystems thinkingChange | OntologyKnowledge graphScopeRequirementsSemantic |