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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 of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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
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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.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
MediumMediumHighMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1-2 Wochen pro Iteration1-4 Wochen1-5 Tage
Participantsdifferent
Designers, developers as users, and facilitation2-61-6Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsPrioritized Assumption List, Test Plan, Results ReportExperiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning Decision
Tags1 shared
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsValidationDiscoveryAssumptions
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
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