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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 Five-Minute VC Check with its method-specific working model.
Business Strategy
5-Minuten VC-Check
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.The 5-Minute VC Check clarifies opportunities and strategic options at the earliest idea stage. It compares problem quality, customer willingness to pay, alternatives, differentiation, and market potential, and captures the result as a VC-check note, go/sharpen/park decision, and risk list.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
MediumLowMediumLow
Timedifferent
2–4 h review as a planning range; preparation and evaluation additional5-15 min1-5 Tage25-40 min
Participantsdifferent
Designers, developers as users, and facilitation1-5Nutzertraffic1-5
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Prioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsVC-check note, Go/sharpen/park decision, Risk and assumption list, Next validation stepClick Data, Interest Signal, Learning DecisionLearning Card with evidence and next action
Tags1 shared
ArchitectureEngineeringFeedbackValidationTasks
StartupValidationCompetition
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryLearning
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