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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)
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
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.For complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
MediumHighMediumLow
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional1 Tag bis mehrere Wochen1-5 Tage25-40 min
Participantsdifferent
Designers, developers as users, and facilitation4-10Nutzertraffic1-5
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsProblem Statement, Prototype, Test LearningsClick Data, Interest Signal, Learning DecisionLearning Card with evidence and next action
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
InnovationPrototypeResearch
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryLearning
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