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Selected:ARID (Active Reviews for Intermediate Designs)Ontology Design PatternsSmoke TestFake Door Test
| Criterion | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Knowledge Modeling Ontology Design Patterns | ![]() Product Discovery Smoke Test | ![]() 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. | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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 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 | Medium | Low | Medium |
Timedifferent | 2–4 h review as a planning range; preparation and evaluation additional | 1-3 h pro Pattern | 1-5 Tage | 1-5 Tage |
Participantsdifferent | Designers, developers as users, and facilitation | 1-6 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ArchitectureEngineeringFeedbackValidationTasks | OntologyPatternsReuseSemanticModeling | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |



