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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Operations Change Analysis |  Knowledge Modeling Ontology Design Patterns |  Systems Thinking Iceberg Model |
|---|---|---|---|---|
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. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | The Iceberg Model separates visible events from patterns, structures, and mental models. This turns a single observation into a deeper understanding of why a problem keeps recurring. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 4-8 h initial, dann iterativ | 45-120 min | 1-3 h pro Pattern | 30-60 min |
Participantsdifferent | 1-6 | 2-6 | 1-6 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Iceberg Worksheet, Pattern Notes, Intervention Ideas |
Tagsno overlap | Knowledge graphModelingSemantic | ChangeRoot causeTroubleshootingComparison | OntologyPatternsReuseSemanticModeling | Systems thinkingRoot causePatterns |