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Criterion
Process Mapping method illustration showing its working structure
Operations
Process Mapping
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration for Kaizen Event.
Operations
Kaizen Event
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
With a confusing workflow that has many handoffs, the method makes the actual process visible. It shows where work is passed on, delayed, or duplicated, so improvement targets the right spots.When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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
MediumMediumMediumHigh
Timedifferent
1-3 h1-2 Wochen0.5-5 Tage1-4 Wochen
Participantsdifferent
3-101-64-101-6
Formatdifferent
WorkshopWorkshop + asyncWorkshopAsync
Outputdifferent
Process Map, Handoff List, Improvement BacklogExperiment card, Result summary, Next betKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateExperiment results, Decision log, Learning summary
Tagsno overlap
ProcessOperationsImprovement
MarketingGrowthExperimentsLearning
LeanContinuous improvementOperations
ExperimentsGrowthAnalyticsValidation
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