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Selected:A/B Testing ARID (Active Reviews for Intermediate Designs)Barrier Analysis Assumption Mapping

Criterion	Growth A/B Testing	Architecture ARID (Active Reviews for Intermediate Designs)	Operations Barrier Analysis	Product Discovery Assumption Mapping
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.	For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions.	When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent	High	Medium	Medium	Medium
Timedifferent	1-4 Wochen	2–4 h review as a planning range; preparation and evaluation additional	2-4 h	45-60 min
Participantsdifferent	1-6	Designers, developers as users, and facilitation	2-6	2-8
Formatdifferent	Async	Workshop + async	Workshop + async	Workshop + async
Outputdifferent	Experiment results, Decision log, Learning summary	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Barrier Inventory, Failure Analysis per Barrier, Action Backlog	Assumption map, Test backlog, Risk ranking
Tagsno overlap	ExperimentsGrowthAnalyticsValidation	ArchitectureEngineeringFeedbackValidationTasks	Root causeSafetyIncident	AssumptionsRiskExperimentsValidation

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