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Selected:A/B Testing ARID (Active Reviews for Intermediate Designs)Root Cause Analysis Root Cause Tree Analysis

Criterion	Growth A/B Testing	Architecture ARID (Active Reviews for Intermediate Designs)	Operations Root Cause Analysis	Operations Root Cause Tree Analysis
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.	When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.	For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.
Complexitydifferent	High	Medium	Medium	Medium
Timedifferent	1-4 Wochen	2–4 h review as a planning range; preparation and evaluation additional	1-4 h	1-3 h
Participantsdifferent	1-6	Designers, developers as users, and facilitation	3-8	2-8
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	Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan	Cause Tree, Evidence Notes, Countermeasures
Tagsno overlap	ExperimentsGrowthAnalyticsValidation	ArchitectureEngineeringFeedbackValidationTasks	Root causeProblem solvingQualityIncident	Root causeTreeIncidentQuality

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