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Criterion
Visual Management workspace showing the question, observations, and next decision.
Operations
Visual Management
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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
Purposedifferent
With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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.
Complexitydifferent
LowLowMediumHigh
Timedifferent
Ongoing1-5 Tage2–4 h review as a planning range; preparation and evaluation additional1-4 Wochen
Participantsdifferent
1-20NutzertrafficDesigners, developers as users, and facilitation1-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Visual Board, Status Indicators, Exception CuesInterest Metrics, Conversion Signal, Learning NotePrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsExperiment results, Decision log, Learning summary
Tagsno overlap
SignalsOperationsVisual management
ValidationExperimentsDemandGrowth
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsGrowthAnalyticsValidation
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