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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 an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumLowLowMedium
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional45-90 min25-40 min45-60 min
Participantsdifferent
Designers, developers as users, and facilitation2-81-52-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsAssumption List, Critical Assumptions, Learning PlanLearning Card with evidence and next actionAssumption map, Test backlog, Risk ranking
Tagsno overlap
ArchitectureEngineeringFeedbackValidationTasks
AssumptionsRiskDecisionDiscovery
ExperimentsValidationDiscoveryLearning
AssumptionsRiskExperimentsValidation
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