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Criterion
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Purposedifferent
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.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 Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-5 Tage2–4 h review as a planning range; preparation and evaluation additional25-40 min1-2 Wochen pro Iteration
Participantsdifferent
NutzertrafficDesigners, developers as users, and facilitation1-52-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Click Data, Interest Signal, Learning DecisionPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsLearning Card with evidence and next actionPrioritized Assumption List, Test Plan, Results Report
Tags1 shared
ValidationExperimentsDemandDiscovery
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryAssumptions
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