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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 Rapid Ideation with its method-specific working model.
Innovation
Rapid Ideation
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.When a decision needs to be prepared quickly, the method generates many solution-close variants in a short time. It deliberately relies on pace to undercut self-censorship and perfectionism. This quickly produces a usable field for prioritization and further work.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 Wochen5-20 min1-5 Tage
Participantsdifferent
1-51-61-20Nutzertraffic
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryIdeenpool, Roh-Shortlist, ClusterInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
BrainstormingIdeationDivergenceSpeed
ValidationExperimentsDemandGrowth
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