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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 Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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.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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional60-90 min1-5 Tage45-75 min
Participantsdifferent
Designers, developers as users, and facilitation3-8Nutzertraffic2-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsPrioritization Canvas, Hypothesis BacklogClick Data, Interest Signal, Learning DecisionTest Matrix, Test Plan
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsPrioritizationDiscoveryHypothesis
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryOptions
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