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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 Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
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.When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another.For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie.
Complexitydifferent
HighHighMediumMedium
Timedifferent
2-12 Wochen1-4 Wochen1-4 h1-3 h
Participantsdifferent
3-101-63-82-8
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Project Charter, Measurement Plan, Cause Analysis, Control PlanExperiment results, Decision log, Learning summaryProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
Continuous improvementQualityProcess improvement
ExperimentsGrowthAnalyticsValidation
Root causeProblem solvingQualityIncident
Root causeTreeIncidentQuality
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