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Selected:Assumption SurfacingCompetency QuestionsOntology Design PatternsProperty Graph Schema Design
| Criterion |  Decision Making Assumption Surfacing |  Knowledge Modeling Competency Questions |  Knowledge Modeling Ontology Design Patterns |  Knowledge Modeling Property Graph Schema Design |
|---|---|---|---|---|
Purposedifferent | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 45-90 min | 2-4 h | 1-3 h pro Pattern | 4-8 h initial, dann iterativ |
Participantsdifferent | 2-8 | 2-8 | 1-6 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Assumption List, Critical Assumptions, Learning Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries |
Tagsno overlap | AssumptionsRiskDecisionDiscovery | OntologyKnowledge graphScopeRequirementsSemantic | OntologyPatternsReuseSemanticModeling | Knowledge graphModelingSemantic |