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Criterion
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Purposedifferent
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.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.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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
MediumHighMediumMedium
Timedifferent
1-3 h1-4 WochenWochen bis Monate je Lernzyklus1-4 h
Participantsdifferent
2-81-62-83-8
Formatdifferent
WorkshopAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Cause Tree, Evidence Notes, CountermeasuresExperiment results, Decision log, Learning summaryHypothesis list, MVPs, Learning reports, Pivot or persevere decisionProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
Root causeTreeIncidentQuality
ExperimentsGrowthAnalyticsValidation
LeanStartupValidationMVP
Root causeProblem solvingQualityIncident
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