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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 a group needs a solid decision without outvoting individual factions, a Consensus Workshop creates a negotiable common ground. It makes agreement, reservations, and open tensions discussable at the same time.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 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
MediumMediumLowHigh
Timedifferent
1-3 h1-3 h1-5 Tage1-4 Wochen
Participantsdifferent
1-55-30Nutzertraffic1-6
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesConsensus Clusters, Theme Titles, Priority AreasInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
FacilitationConsensusWorkshopAlignment
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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