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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 two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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
MediumLowLowLow
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional30–60 min per interview25-40 min30-60 min
Participantsdifferent
Designers, developers as users, and facilitation1 participant per interview1-51-5
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsInterview Notes, Themes, Insight SummaryLearning Card with evidence and next actionCompleted Experiment Canvas, Success Metric
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
QualitativeResearchCustomerDiscovery
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryHypothesis
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