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| Criterion |  Architecture Risk Storming |  Knowledge Modeling Ontology Design Patterns |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Low | Medium | Low | High |
Timedifferent | 60-90 min | 1-3 h pro Pattern | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 4-12 | 1-6 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Annotated Diagram, Prioritized Risk List, Action Backlog | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | RiskArchitectureWorkshopValidation | OntologyPatternsReuseSemanticModeling | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |