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Criterion
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
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
Independent contributions form an ordered group priority list.
Facilitation
Nominal Group Technique
Purposedifferent
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 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 loud voices could dominate a round, Nominal Group Technique protects individual thinking time from group effects. It collects ideas separately first and only then enables shared weighting.
Complexitydifferent
LowMediumHighMedium
Timedifferent
5-15 min1-3 h1-4 Wochen60-120 min
Participantsdifferent
3-201-51-65-12
Formatdifferent
WorkshopAsyncAsyncWorkshop
Outputdifferent
Ranked list, Consensus signal, ShortlistFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryRanked Ideas, Clarified Options, Group Priority
Tagsno overlap
FacilitationVotingConsensusPrioritization
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
FacilitationPrioritizationVotingInclusion
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