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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 Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
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.When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable.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
MediumMediumHighLow
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional30-240 min1-4 Wochen30-60 min
Participantsdifferent
Designers, developers as users, and facilitation1-61-61-5
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsHypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryExperiment results, Decision log, Learning summaryCompleted Experiment Canvas, Success Metric
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
TroubleshootingProblem solvingDiagnosis
ExperimentsGrowthAnalyticsValidation
ExperimentsValidationDiscoveryHypothesis
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