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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for DACI
Decision Making
DACI
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated.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.
Complexitydifferent
MediumLowLowHigh
Timedifferent
1-3 h1-5 Tage30-60 min1-4 Wochen
Participantsdifferent
1-5Nutzertraffic2-101-6
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesInterest Metrics, Conversion Signal, Learning NoteDACI Matrix, Decision Owner, Decision LogExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
ValidationExperimentsDemandGrowth
DecisionRolesGovernanceAlignment
ExperimentsGrowthAnalyticsValidation
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