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Criterion
Paper illustration for DMAIC.
Operations
DMAIC
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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
HighMediumLowHigh
Timedifferent
2-12 WochenWochen bis Monate je Lernzyklus1 h bis mehrere Wochen1-4 Wochen
Participantsdifferent
3-102-81-81-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanHypothesis list, MVPs, Learning reports, Pivot or persevere decisionPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeExperiment results, Decision log, Learning summary
Tagsno overlap
Continuous improvementQualityProcess improvement
LeanStartupValidationMVP
Continuous improvementLeanExperiments
ExperimentsGrowthAnalyticsValidation
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