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Selected:ARID (Active Reviews for Intermediate Designs)Ontology Design Patterns Assumption Mapping A/B Testing

Criterion	Architecture ARID (Active Reviews for Intermediate Designs)	Knowledge Modeling Ontology Design Patterns	Product Discovery Assumption Mapping	Growth A/B Testing
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.	When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.
Complexitydifferent	Medium	Medium	Medium	High
Timedifferent	2–4 h review as a planning range; preparation and evaluation additional	1-3 h pro Pattern	45-60 min	1-4 Wochen
Participantsdifferent	Designers, developers as users, and facilitation	1-6	2-8	1-6
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	Selected Patterns, Adapted Schema Fragments, Pattern Documentation	Assumption map, Test backlog, Risk ranking	Experiment results, Decision log, Learning summary
Tagsno overlap	ArchitectureEngineeringFeedbackValidationTasks	OntologyPatternsReuseSemanticModeling	AssumptionsRiskExperimentsValidation	ExperimentsGrowthAnalyticsValidation

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