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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration of the Consensus Workshop working structure.
Facilitation
Consensus Workshop
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 workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.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 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
MediumLowMediumHigh
Timedifferent
1-3 h5-15 min1-3 h1-4 Wochen
Participantsdifferent
1-53-205-301-6
Formatdifferent
AsyncWorkshopWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesRanked list, Consensus signal, ShortlistConsensus Clusters, Theme Titles, Priority AreasExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
FacilitationVotingConsensusPrioritization
FacilitationConsensusWorkshopAlignment
ExperimentsGrowthAnalyticsValidation
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