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Criterion
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.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.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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.
Complexitydifferent
LowHighMediumLow
Timedifferent
30-120 min1-4 Wochen1-3 h1-5 Tage
Participantsdifferent
2-61-61-5Nutzertraffic
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Observation Notes, Improvement IdeasExperiment results, Decision log, Learning summaryFunnel report, Drop-off analysis, Optimization hypothesesInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
LeanObservationProcessOperations
ExperimentsGrowthAnalyticsValidation
AnalyticsConversionGrowth
ValidationExperimentsDemandGrowth
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