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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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
A 5 Whys working surface connects an observable problem with evidenced causes, marked uncertainty and concrete countermeasures with ownership.
Operations
5 Whys
Purposedifferent
When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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.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.
Complexitydifferent
MediumHighMediumLow
Timedifferent
1-3 h1-4 Wochen1-3 h15-30 min
Participantsdifferent
1-51-62-82-6
Formatdifferent
AsyncAsyncWorkshopWorkshop
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryCause Tree, Evidence Notes, CountermeasuresRoot cause notes, Countermeasures
Tagsno overlap
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
Root causeTreeIncidentQuality
Root causeIncidentLeanProblem solving
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