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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for 8D Problem Solving.
Operations
8D Problem Solving
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
Purposedifferent
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.For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly.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.
Complexitydifferent
LowHighHighMedium
Timedifferent
1 h bis mehrere Wochen1-6 Wochen1-4 Wochen1-4 h
Participantsdifferent
1-84-101-63-8
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncWorkshop + async
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard Change8D Report, Containment Plan, Root Cause Evidence, Corrective Action PlanExperiment results, Decision log, Learning summaryProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
Continuous improvementLeanExperiments
QualityProblem solvingRoot cause
ExperimentsGrowthAnalyticsValidation
Root causeProblem solvingQualityIncident
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