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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
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
When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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.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
HighMediumMediumLow
Timedifferent
1-4 Wochen2–4 h review as a planning range; preparation and evaluation additional1-5 Tage25-40 min
Participantsdifferent
1-6Designers, developers as users, and facilitationNutzertraffic1-5
Formatdifferent
AsyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsClick Data, Interest Signal, Learning DecisionLearning Card with evidence and next action
Tags1 shared
ExperimentsGrowthAnalyticsValidation
ArchitectureEngineeringFeedbackValidationTasks
ValidationExperimentsDemandDiscovery
ExperimentsValidationDiscoveryLearning
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