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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration of a two-by-two Ansoff Matrix with four growth directions
Business Strategy
Ansoff Matrix
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit 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.
Complexitydifferent
LowLowMediumHigh
Timedifferent
1 h bis mehrere Wochen45-90 min45-90 min1-4 Wochen
Participantsdifferent
1-82-82-51-6
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeAnsoff Matrix, Growth Options, Risk NotesA3 Report, Action Plan, Root Cause AnalysisExperiment results, Decision log, Learning summary
Tagsno overlap
Continuous improvementLeanExperiments
GrowthStrategyMarketPortfolio
LeanProblem solvingCoachingOperations
ExperimentsGrowthAnalyticsValidation
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