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Selected:Surveys ARID (Active Reviews for Intermediate Designs)Root Cause Tree Analysis Root Cause Analysis

Criterion	UX Research Surveys	Architecture ARID (Active Reviews for Intermediate Designs)	Operations Root Cause Tree Analysis	Operations Root Cause Analysis
Purposedifferent	When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.	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 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.	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.
Complexitysame	Medium	Medium	Medium	Medium
Timedifferent	3-14 Tage	2–4 h review as a planning range; preparation and evaluation additional	1-3 h	1-4 h
Participantsdifferent	50+	Designers, developers as users, and facilitation	2-8	3-8
Formatdifferent	Async	Workshop + async	Workshop	Workshop + async
Outputdifferent	Survey Results, Charts, Segment Insights	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Cause Tree, Evidence Notes, Countermeasures	Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap	QuantitativeResearchValidation	ArchitectureEngineeringFeedbackValidationTasks	Root causeTreeIncidentQuality	Root causeProblem solvingQualityIncident

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