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Selected:Bottleneck Analysis ARID (Active Reviews for Intermediate Designs)Decision Tree MVP Test Matrix

Criterion	Operations Bottleneck Analysis	Architecture ARID (Active Reviews for Intermediate Designs)	Decision Making Decision Tree	Product Discovery MVP Test Matrix
Purposedifferent	For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.	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.	When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitysame	Medium	Medium	Medium	Medium
Timedifferent	1-3 h	2–4 h review as a planning range; preparation and evaluation additional	30-90 min	45-75 min
Participantsdifferent	3-8	Designers, developers as users, and facilitation	1-6	2-8
Formatdifferent	Workshop + async	Workshop + async	Workshop + async	Workshop
Outputdifferent	Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions	Decision Tree, Option Map, Assumption List	Test Matrix, Test Plan
Tagsno overlap	FlowMeasurementConstraints	ArchitectureEngineeringFeedbackValidationTasks	DecisionTreeOptions	ExperimentsValidationDiscoveryOptions

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