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Selected:ARID (Active Reviews for Intermediate Designs)Smoke Test Hypothesis Prioritization Canvas A/B Testing

Criterion	Architecture ARID (Active Reviews for Intermediate Designs)	Product Discovery Smoke Test	Product Discovery Hypothesis Prioritization Canvas	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.	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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.	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 review as a planning range; preparation and evaluation additional	1-5 Tage	60-90 min	1-4 Wochen
Participantsdifferent	Designers, developers as users, and facilitation	Nutzertraffic	3-8	1-6
Formatdifferent	Workshop + async	Async	Workshop	Async
Outputdifferent	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Interest Metrics, Conversion Signal, Learning Note	Prioritization Canvas, Hypothesis Backlog	Experiment results, Decision log, Learning summary
Tagsno overlap	ArchitectureEngineeringFeedbackValidationTasks	ValidationExperimentsDemandGrowth	ExperimentsPrioritizationDiscoveryHypothesis	ExperimentsGrowthAnalyticsValidation

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