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| Criterion |  Knowledge Modeling Property Graph Schema Design |  Decision Making Argument Mapping |  Decision Making Assumption Surfacing |  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. | When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 4-8 h initial, dann iterativ | 1-3 h | 45-90 min | 2-4 h |
Participantsdifferent | 1-6 | 1-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Argument Map, Evidence Gaps, Decision Rationale | Assumption List, Critical Assumptions, Learning Plan | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix |
Tagsno overlap | Knowledge graphModelingSemantic | SensemakingDecisionRationale | AssumptionsRiskDecisionDiscovery | OntologyKnowledge graphScopeRequirementsSemantic |