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Selected:Quality Attribute Workshop Smoke Test ARID (Active Reviews for Intermediate Designs)A/B Testing

Criterion	Architecture Quality Attribute Workshop	Product Discovery Smoke Test	Architecture ARID (Active Reviews for Intermediate Designs)	Growth A/B Testing
Purposedifferent	A Quality Attribute Workshop translates quality requirements into concrete scenarios and architecture impulses. The method brings product, engineering, and operations to the same view of desired properties.	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.	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 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	Low	Medium	High
Timedifferent	2-4 h	1-5 Tage	2–4 h review as a planning range; preparation and evaluation additional	1-4 Wochen
Participantsdifferent	5-15	Nutzertraffic	Designers, developers as users, and facilitation	1-6
Formatdifferent	Workshop	Async	Workshop + async	Async
Outputdifferent	Quality Scenarios, Priority List, Architecture Concerns	Interest Metrics, Conversion Signal, Learning Note	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Experiment results, Decision log, Learning summary
Tagsno overlap	RequirementsArchitectureWorkshop	ValidationExperimentsDemandGrowth	ArchitectureEngineeringFeedbackValidationTasks	ExperimentsGrowthAnalyticsValidation

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