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Criterion
Paper illustration for Eat the Frog
Operations
Eat the Frog
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 Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
The method protects energy and attention for the task that creates the largest progress and is often postponed.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
LowMediumHighLow
Timedifferent
15-90 min daily1-3 h1-4 Wochen1-5 Tage
Participantsdifferent
11-51-6Nutzertraffic
Formatsame
AsyncAsyncAsyncAsync
Outputdifferent
Priority Task, Completion Note, Daily FocusFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
PrioritizationProductivityFocusExecution
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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