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| Criterion |  Growth A/B Testing |  Knowledge Modeling Ontology Design Patterns |  Decision Making Assumption Surfacing |
|---|---|---|---|
Purposedifferent | 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 1-4 Wochen | 1-3 h pro Pattern | 45-90 min |
Participantsdifferent | 1-6 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | OntologyPatternsReuseSemanticModeling | AssumptionsRiskDecisionDiscovery |
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