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| Criterion |  Knowledge Modeling Shape-First Modeling |  Systems Thinking Leverage Points |  Knowledge Modeling Competency Questions |  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. | 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. | 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. | 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 | Medium | High |
Timedifferent | Halber Tag pro Domain Slice | Half day | 2-4 h | 2-4 h |
Participantsdifferent | 1-4 | 3-12 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Leverage Map, Action Strategy | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | Knowledge graphValidationSemantic | Systems thinkingChangeStrategy | OntologyKnowledge graphScopeRequirementsSemantic | Theory of ConstraintsSystems thinkingChange |