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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Root Cause Tree Analysis
Operations
Root Cause Tree Analysis
Paper illustration for Root Cause Analysis.
Operations
Root Cause Analysis
Purposedifferent
Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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 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 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
60-120 min1-4 Wochen1-3 h1-4 h
Participantsdifferent
3-81-62-83-8
Formatdifferent
WorkshopAsyncWorkshopWorkshop + async
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryCause Tree, Evidence Notes, CountermeasuresProblem Statement, Cause Hypotheses, Confirmed Causes, Action Plan
Tagsno overlap
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
Root causeTreeIncidentQuality
Root causeProblem solvingQualityIncident
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