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Selected:ARID (Active Reviews for Intermediate Designs)Decision Tree Causal Loop Diagram Constraint Analysis

Criterion	Architecture ARID (Active Reviews for Intermediate Designs)	Decision Making Decision Tree	Systems Thinking Causal Loop Diagram	Decision Making Constraint 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 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.	A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.	When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped.
Complexitydifferent	Medium	Medium	Medium	Low
Timedifferent	2–4 h review as a planning range; preparation and evaluation additional	30-90 min	1-3 h	30-90 min
Participantsdifferent	Designers, developers as users, and facilitation	1-6	2-8	2-8
Formatdifferent	Workshop + async	Workshop + async	Workshop	Workshop + async
Outputdifferent	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Decision Tree, Option Map, Assumption List	Causal Loop Diagram, Feedback Notes, Leverage Points	Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries
Tagsno overlap	ArchitectureEngineeringFeedbackValidationTasks	DecisionTreeOptions	FeedbackSystems thinkingCausalityDynamics	ConstraintsDecisionPlanningOptions

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