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Criterion
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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 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
LowMediumHighLow
Timedifferent
30-120 min60-120 min1-4 Wochen1-5 Tage
Participantsdifferent
2-63-81-6Nutzertraffic
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Observation Notes, Improvement IdeasFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
LeanObservationProcessOperations
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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