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

Criterion	Growth A/B Testing	Architecture ARID (Active Reviews for Intermediate Designs)	Product Discovery Test Card	Product Discovery Hypothesis Prioritization Canvas
Purposedifferent	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.	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.	The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.	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.
Complexitydifferent	High	Medium	Low	Medium
Timedifferent	1-4 Wochen	2–4 h review as a planning range; preparation and evaluation additional	20-35 min	60-90 min
Participantsdifferent	1-6	Designers, developers as users, and facilitation	1-5	3-8
Formatdifferent	Async	Workshop + async	Workshop + async	Workshop
Outputdifferent	Experiment results, Decision log, Learning summary	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Test Card with a pre-set threshold	Prioritization Canvas, Hypothesis Backlog
Tagsno overlap	ExperimentsGrowthAnalyticsValidation	ArchitectureEngineeringFeedbackValidationTasks	ExperimentsValidationDiscoveryHypothesis	ExperimentsPrioritizationDiscoveryHypothesis

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