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Criterion
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Hypothesis-Driven Troubleshooting.
Engineering
Hypothesis-Driven Troubleshooting
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration for Fault Isolation.
Engineering
Fault Isolation
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.When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable.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.In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
1 h bis mehrere Wochen30-240 min45-90 min30-180 min
Participantsdifferent
1-81-62-51-6
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
PDCA Log, Experiment Plan, Learning Outcome, Standard ChangeHypothesis Log, Test Plan, Evidence Notes, Diagnosis SummaryA3 Report, Action Plan, Root Cause AnalysisFault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area
Tagsno overlap
Continuous improvementLeanExperiments
TroubleshootingProblem solvingDiagnosis
LeanProblem solvingCoachingOperations
TroubleshootingDiagnosisEngineering
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