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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Paper illustration for Causal Factor Analysis.
Operations
Causal Factor Analysis
Purposedifferent
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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events.
Complexitydifferent
HighHighMediumHigh
Timedifferent
1-4 Wochen2-6 h1-4 h2-6 h
Participantsdifferent
1-63-83-83-10
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryCurrent Reality Tree, Core Problems, Intervention IdeasProblem Statement, Cause Hypotheses, Confirmed Causes, Action PlanEvent Timeline, Causal Factor Chart, Cause List, Corrective Actions
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Systems thinkingRoot causeConstraintsCausality
Root causeProblem solvingQualityIncident
CausalityIncidentRoot causeTimeline
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