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| Criterion |  Knowledge Modeling NeOn Methodology |  Product Discovery Smoke Test |  Growth A/B Testing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | The NeOn Methodology structures ontology work as a controlled process with reuse, scenarios, and reviews. It is useful when ontologies should not emerge ad hoc but modularly and reusably. | 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. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | Mehrere Wochen bis Monate | 1-5 Tage | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-10 | Nutzertraffic | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |