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

Criterion	Architecture ARID (Active Reviews for Intermediate Designs)	Operations Root Cause Tree Analysis	Decision Making Decision Tree	Operations Root Cause Analysis
Purposedifferent	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.	For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.	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	2–4 h review as a planning range; preparation and evaluation additional	1-3 h	30-90 min	1-4 h
Participantsdifferent	Designers, developers as users, and facilitation	2-8	1-6	3-8
Formatdifferent	Workshop + async	Workshop	Workshop + async	Workshop + async
Outputdifferent	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Cause Tree, Evidence Notes, Countermeasures	Decision Tree, Option Map, Assumption List	Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap	ArchitectureEngineeringFeedbackValidationTasks	Root causeTreeIncidentQuality	DecisionTreeOptions	Root causeProblem solvingQualityIncident

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