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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for CATWOE Analysis.
Systems Thinking
CATWOE Analysis
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel 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.CATWOE structures a problem from six viewpoints and prevents too narrow a view of the situation. Different experiences of the system become comparably discussable this way.When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1-4 Wochen45-90 min1-5 Tage1-3 h
Participantsdifferent
1-63-8Nutzertraffic1-5
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryCATWOE Canvas, Root Definition, Stakeholder Perspectives, ConstraintsInterest Metrics, Conversion Signal, Learning NoteFunnel report, Drop-off analysis, Optimization hypotheses
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Systems thinkingFramingStakeholders
ValidationExperimentsDemandGrowth
AnalyticsConversionGrowth
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