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| Criterion |  Knowledge Modeling NeOn Methodology |  Product Discovery Hypothesis Prioritization Canvas |  Product Discovery Learning Card |  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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. | 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 | Medium | Low | Medium |
Timedifferent | Mehrere Wochen bis Monate | 60-90 min | 25-40 min | 1-5 Tage |
Participantsdifferent | 2-10 | 3-8 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Prioritization Canvas, Hypothesis Backlog | Learning Card with evidence and next action | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | ExperimentsPrioritizationDiscoveryHypothesis | ExperimentsValidationDiscoveryLearning | ValidationExperimentsDemandDiscovery |