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Criterion
Gemba Walk workspace showing the question, observations, and next decision.
Operations
Gemba Walk
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 Failure Mode and Effects Analysis
Operations
Failure Mode and Effects Analysis
Purposedifferent
When there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions.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 process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability.
Complexitydifferent
LowHighMediumHigh
Timedifferent
30-120 min1-4 Wochen1-4 h2-6 h
Participantsdifferent
2-61-63-83-10
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop
Outputdifferent
Observation Notes, Improvement IdeasExperiment results, Decision log, Learning summaryProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanFMEA Table, Risk Priority, Mitigation Actions
Tagsno overlap
LeanObservationProcessOperations
ExperimentsGrowthAnalyticsValidation
Root causeProblem solvingQualityIncident
RiskQualityOperationsRoot cause
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