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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 Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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.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.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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.
Complexitydifferent
MediumLowHighMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1-5 Tage1-4 Wochen1-3 h
Participantsdifferent
Designers, developers as users, and facilitationNutzertraffic1-61-5
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summaryFunnel report, Drop-off analysis, Optimization hypotheses
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
AnalyticsConversionGrowth
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