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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 of an eight-panel idea sheet with varied sketches beside a timer set to eight minutes.
Innovation
Crazy 8s
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.With only a few minutes available and a still-fuzzy solution search, the method forces a wide range of variants. It produces fast sketches before the first idea can settle in, making different directions directly comparable and open to further development.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
MediumHighLowLow
Timedifferent
1-3 h1-4 Wochen8-15 min1-5 Tage
Participantsdifferent
1-51-61-10Nutzertraffic
Formatdifferent
AsyncAsyncWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summarySketch Set, Idea Shortlist, Direction OptionsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
BrainstormingSketchingSpeedDivergenceDesign sprint
ValidationExperimentsDemandGrowth
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