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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)
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
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 C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes.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.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.
Complexitydifferent
MediumLowLowMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1-4 h30-60 min1-5 Tage
Participantsdifferent
Designers, developers as users, and facilitation1-51-5Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsContext Diagram, Container Diagram, Component DiagramCompleted Experiment Canvas, Success MetricClick Data, Interest Signal, Learning Decision
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
ArchitectureCommunicationVisualization
ExperimentsValidationDiscoveryHypothesis
ValidationExperimentsDemandDiscovery
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