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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 Evaporating Cloud.
Systems Thinking
Evaporating Cloud
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption 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.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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 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.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional60-120 min1-4 Wochen1-2 Wochen pro Iteration
Participantsdifferent
Designers, developers as users, and facilitation2-81-62-6
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsExperiment results, Decision log, Learning summaryPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
Theory of ConstraintsAssumptionsSystems thinking
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryAssumptions
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