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Selected:PDCA Cycle Architecture Decision Record A/B Testing ARID (Active Reviews for Intermediate Designs)

Criterion	Operations PDCA Cycle	Architecture Architecture Decision Record	Growth A/B Testing	Architecture ARID (Active Reviews for Intermediate Designs)
Purposedifferent	For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.	An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable.	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.
Complexitydifferent	Low	Low	High	Medium
Timedifferent	1 h bis mehrere Wochen	15-45 min	1-4 Wochen	2–4 h review as a planning range; preparation and evaluation additional
Participantsdifferent	1-8	1-3	1-6	Designers, developers as users, and facilitation
Formatdifferent	Workshop + async	Async	Async	Workshop + async
Outputdifferent	PDCA Log, Experiment Plan, Learning Outcome, Standard Change	ADR File, Decision Log, Rationale	Experiment results, Decision log, Learning summary	Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisions
Tagsno overlap	Continuous improvementLeanExperiments	ArchitectureRationaleDocumentationGovernance	ExperimentsGrowthAnalyticsValidation	ArchitectureEngineeringFeedbackValidationTasks

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