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| Criterion |  Knowledge Modeling NeOn Methodology |  Product Discovery Hypothesis Prioritization Canvas |  Decision Making Assumption Surfacing |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
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. | 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. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | Mehrere Wochen bis Monate | 60-90 min | 45-90 min | 45-60 min |
Participantsdifferent | 2-10 | 3-8 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Prioritization Canvas, Hypothesis Backlog | Assumption List, Critical Assumptions, Learning Plan | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | ExperimentsPrioritizationDiscoveryHypothesis | AssumptionsRiskDecisionDiscovery | AssumptionsRiskExperimentsValidation |