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Selected:A/B Testing ARID (Active Reviews for Intermediate Designs)After-Action Review Assumption Mapping

Criterion	Growth A/B Testing	Architecture ARID (Active Reviews for Intermediate Designs)	Operations After-Action Review	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.	After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement.	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	Low	Medium
Timedifferent	1-4 Wochen	2–4 h review as a planning range; preparation and evaluation additional	20-45 min	45-60 min
Participantsdifferent	1-6	Designers, developers as users, and facilitation	3-12	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	Lessons learned, Action items, Event summary	Assumption map, Test backlog, Risk ranking
Tagsno overlap	ExperimentsGrowthAnalyticsValidation	ArchitectureEngineeringFeedbackValidationTasks	LearningOperationsImprovement	AssumptionsRiskExperimentsValidation

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