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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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 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 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
HighLowMediumLow
Timedifferent
1-4 Wochen5-15 min1-3 h1-5 Tage
Participantsdifferent
1-63-205-30Nutzertraffic
Formatdifferent
AsyncWorkshopWorkshopAsync
Outputdifferent
Experiment results, Decision log, Learning summaryRanked list, Consensus signal, ShortlistConsensus Clusters, Theme Titles, Priority AreasInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
FacilitationVotingConsensusPrioritization
FacilitationConsensusWorkshopAlignment
ValidationExperimentsDemandGrowth
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