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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 a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
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 Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
MediumLowMediumMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional25-40 min60-90 min45-75 min
Participantsdifferent
Designers, developers as users, and facilitation1-53-82-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsLearning Card with evidence and next actionPrioritization Canvas, Hypothesis BacklogTest Matrix, Test Plan
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsValidationDiscoveryLearning
ExperimentsPrioritizationDiscoveryHypothesis
ExperimentsValidationDiscoveryOptions
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