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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Systems Thinking Leverage Points |  Systems Thinking Future Reality Tree |  Knowledge Modeling Competency Questions |
|---|---|---|---|---|
Purposedifferent | Property Graph Schema Design turns business and technical requirements into a robust graph schema. It fits when query patterns, constraints, and migrations need to be thought about together. | 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. | 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 | Medium | High | High | Medium |
Timedifferent | 4-8 h initial, dann iterativ | Half day | 2-4 h | 2-4 h |
Participantsdifferent | 1-6 | 3-12 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Leverage Map, Action Strategy | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphModelingSemantic | Systems thinkingChangeStrategy | Theory of ConstraintsSystems thinkingChange | OntologyKnowledge graphScopeRequirementsSemantic |