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| Criterion |  Knowledge Modeling Ontology Design Patterns |  Architecture Risk Storming |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | 1-3 h pro Pattern | 60-90 min | 45-60 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 4-12 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Annotated Diagram, Prioritized Risk List, Action Backlog | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | OntologyPatternsReuseSemanticModeling | RiskArchitectureWorkshopValidation | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |