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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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.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.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.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
LowMediumHighMedium
Timedifferent
1 h bis mehrere Wochen2–4 h review as a planning range; preparation and evaluation additional1-4 Wochen1-5 Tage
Participantsdifferent
1-8Designers, developers as users, and facilitation1-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangePrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tagsno overlap
Continuous improvementLeanExperiments
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
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