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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 Landing Page Test.
Product Discovery
Landing Page Test
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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 a value proposition first needs to be checked for resonance, it condenses the idea onto a focused entry page. It shows whether language and offering carry interest.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 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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1-5 Tage1-2 Wochen pro Iteration1-5 Tage
Participantsdifferent
Designers, developers as users, and facilitationNutzertraffic2-6Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsLanding Page, Conversion Data, Learning SummaryPrioritized Assumption List, Test Plan, Results ReportClick Data, Interest Signal, Learning Decision
Tags1 shared
ArchitectureEngineeringFeedbackValidationTasks
ValidationConversionMarketing
ExperimentsValidationDiscoveryAssumptions
ValidationExperimentsDemandDiscovery
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