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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 Shape-first Modeling with its method-specific working model.
Knowledge Modeling
Shape-First Modeling
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
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.Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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
MediumMediumLowMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additionalHalber Tag pro Domain Slice25-40 min1-5 Tage
Participantsdifferent
Designers, developers as users, and facilitation1-41-5Nutzertraffic
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsSHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape DocumentationLearning Card with evidence and next actionClick Data, Interest Signal, Learning Decision
Tags1 shared
ArchitectureEngineeringFeedbackValidationTasks
Knowledge graphValidationSemantic
ExperimentsValidationDiscoveryLearning
ValidationExperimentsDemandDiscovery
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