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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)
Architecture Communication Canvas method illustration showing its working structure
Architecture
Architecture Communication Canvas
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
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 Architecture Communication Canvas plans architecture communication so the right people receive the right message. The method turns technical complexity into deliberate communication design.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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
MediumMediumLowMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional60-120 min25-40 min45-75 min
Participantsdifferent
Designers, developers as users, and facilitation2-81-52-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsCommunication Canvas, Stakeholder Messages, Architecture Communication PlanLearning Card with evidence and next actionTest Matrix, Test Plan
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
ArchitectureCommunicationStakeholdersCanvas
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryOptions
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