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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 fishbone diagram with a measurable effect at the head and six labeled cause branches.
Operations
Fishbone Diagram
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumHighLowMedium
Timedifferent
1-3 h1-4 Wochen30-60 min45-60 min
Participantsdifferent
1-51-62-82-8
Formatdifferent
AsyncAsyncWorkshopWorkshop + async
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryFishbone Diagram, Cause Categories, Investigation BacklogAssumption map, Test backlog, Risk ranking
Tagsno overlap
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
Root causeQualityOperations
AssumptionsRiskExperimentsValidation
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