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Selected:ARID (Active Reviews for Intermediate Designs)Experiment CanvasNeOn MethodologyFake Door Test
| Criterion |  Architecture ARID (Active Reviews for Intermediate Designs) |  Product Discovery Experiment Canvas |  Knowledge Modeling NeOn Methodology |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 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 | Medium | Low | High | Medium |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 30-60 min | Mehrere Wochen bis Monate | 1-5 Tage |
Participantsdifferent | Designers, developers as users, and facilitation | 1-5 | 2-10 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Completed Experiment Canvas, Success Metric | Ontology Requirements Specification, Reuse Plan, Ontology Modules, Evaluation Report | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | ExperimentsValidationDiscoveryHypothesis | OntologyMethodologyReuseSemanticEngineering | ValidationExperimentsDemandDiscovery |