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Selected:NeOn MethodologyARID (Active Reviews for Intermediate Designs)Hypothesis Prioritization CanvasFake Door Test
| Criterion |  Knowledge Modeling NeOn Methodology |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery Hypothesis Prioritization Canvas |  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. | ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification. | 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. | 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 | Medium | Medium |
Timedifferent | Mehrere Wochen bis Monate | 2–4 h review as a planning range; preparation and evaluation additional | 60-90 min | 1-5 Tage |
Participantsdifferent | 2-10 | Designers, developers as users, and facilitation | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | OntologyMethodologyReuseSemanticEngineering | ArchitectureEngineeringFeedbackValidationTasks | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |