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Criterion
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 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.For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly.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.
Complexitydifferent
MediumLowHighHigh
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1 h bis mehrere Wochen1-6 Wochen1-4 Wochen
Participantsdifferent
Designers, developers as users, and facilitation1-84-101-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsPDCA Log, Experiment Plan, Learning Outcome, Standard Change8D Report, Containment Plan, Root Cause Evidence, Corrective Action PlanExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
Continuous improvementLeanExperiments
QualityProblem solvingRoot cause
ExperimentsGrowthAnalyticsValidation
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