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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 Risk Storming.
Architecture
Risk Storming
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog.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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumLowHighLow
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional60-90 min1-4 Wochen30-60 min
Participantsdifferent
Designers, developers as users, and facilitation4-121-61-5
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsAnnotated Diagram, Prioritized Risk List, Action BacklogExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tags1 shared
ArchitectureEngineeringFeedbackValidationTasks
RiskArchitectureWorkshopValidation
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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