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Selected:Ontology Design PatternsARID (Active Reviews for Intermediate Designs)Riskiest Assumption TestExperiment Canvas
| Criterion | ![]() Knowledge Modeling Ontology Design Patterns | ![]() Architecture ARID (Active Reviews for Intermediate Designs) | ![]() Product Discovery Riskiest Assumption Test | ![]() Product Discovery Experiment Canvas |
|---|---|---|---|---|
Purposedifferent | Ontology Design Patterns provide reusable building blocks for recurring modeling problems. The method brings structure to the search for clean concepts, relationships, and roles. | 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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report. | 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. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h pro Pattern | 2–4 h review as a planning range; preparation and evaluation additional | 1-2 Wochen pro Iteration | 30-60 min |
Participantsdifferent | 1-6 | Designers, developers as users, and facilitation | 2-6 | 1-5 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Selected Patterns, Adapted Schema Fragments, Pattern Documentation | Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions | Prioritized Assumption List, Test Plan, Results Report | Completed Experiment Canvas, Success Metric |
Tagsno overlap | OntologyPatternsReuseSemanticModeling | ArchitectureEngineeringFeedbackValidationTasks | ExperimentsValidationDiscoveryAssumptions | ExperimentsValidationDiscoveryHypothesis |



