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| Criterion | ![]() Systems Thinking Leverage Points | ![]() Knowledge Modeling Competency Questions | ![]() Knowledge Modeling Shape-First Modeling |
|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | Half day | 2-4 h | Halber Tag pro Domain Slice |
Participantsdifferent | 3-12 | 2-8 | 1-4 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation |
Tagsno overlap | Systems thinkingChangeStrategy | OntologyKnowledge graphScopeRequirementsSemantic | Knowledge graphValidationSemantic |
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