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Criterion
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data.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 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.
Complexitydifferent
LowLowMediumHigh
Timedifferent
1-5 TageStunden bis wenige Tage2–4 h review as a planning range; preparation and evaluation additional1-4 Wochen
Participantsdifferent
Nutzertraffic1-4Designers, developers as users, and facilitation1-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Interest Metrics, Conversion Signal, Learning NotePretotyping sketch, Test setup, Conversion data, Go or no-go decisionPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsExperiment results, Decision log, Learning summary
Tags1 shared
ValidationExperimentsDemandGrowth
ValidationDemandMVP
ArchitectureEngineeringFeedbackValidationTasks
ExperimentsGrowthAnalyticsValidation
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