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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 shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumHighLowMedium
Timedifferent
1-3 h1-4 Wochen5-15 min45-60 min
Participantsdifferent
1-51-63-202-8
Formatdifferent
AsyncAsyncWorkshopWorkshop + async
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryRanked list, Consensus signal, ShortlistAssumption map, Test backlog, Risk ranking
Tagsno overlap
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
FacilitationVotingConsensusPrioritization
AssumptionsRiskExperimentsValidation
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