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| Criterion |  Product Discovery Assumption Mapping |  Knowledge Modeling Property Graph Schema Design |  Knowledge Modeling Competency Questions |  Knowledge Modeling Ontology Design Patterns |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 45-60 min | 4-8 h initial, dann iterativ | 2-4 h | 1-3 h pro Pattern |
Participantsdifferent | 2-8 | 1-6 | 2-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Schema Diagram, Node and Relationship Catalog, Index Plan, Migration Scripts, Sample Queries | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Selected Patterns, Adapted Schema Fragments, Pattern Documentation |
Tagsno overlap | AssumptionsRiskExperimentsValidation | Knowledge graphModelingSemantic | OntologyKnowledge graphScopeRequirementsSemantic | OntologyPatternsReuseSemanticModeling |