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Criterion
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description.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
LowHighMediumMedium
Timedifferent
15-30 min1-4 Wochen1-4 h1-3 h
Participantsdifferent
2-61-63-82-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop
Outputdifferent
Root cause notes, CountermeasuresExperiment results, Decision log, Learning summaryProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanCause Tree, Evidence Notes, Countermeasures
Tagsno overlap
Root causeIncidentLeanProblem solving
ExperimentsGrowthAnalyticsValidation
Root causeProblem solvingQualityIncident
Root causeTreeIncidentQuality
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