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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
Paper illustration for Eat the Frog
Operations
Eat the Frog
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.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.The method protects energy and attention for the task that creates the largest progress and is often postponed.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
MediumLowLowHigh
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1-5 Tage15-90 min daily1-4 Wochen
Participantsdifferent
Designers, developers as users, and facilitationNutzertraffic11-6
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 NotePriority Task, Completion Note, Daily FocusExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
ValidationExperimentsDemandGrowth
PrioritizationProductivityFocusExecution
ExperimentsGrowthAnalyticsValidation
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