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Criterion
Paper illustration for DMAIC.
Operations
DMAIC
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for DACI
Decision Making
DACI
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.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.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.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
HighHighLowLow
Timedifferent
2-12 Wochen1-4 Wochen30-60 min1-5 Tage
Participantsdifferent
3-101-62-10Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanExperiment results, Decision log, Learning summaryDACI Matrix, Decision Owner, Decision LogInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
Continuous improvementQualityProcess improvement
ExperimentsGrowthAnalyticsValidation
DecisionRolesGovernanceAlignment
ValidationExperimentsDemandGrowth
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