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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Independent contributions form an ordered group priority list.
Facilitation
Nominal Group Technique
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.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
MediumMediumMediumHigh
Timedifferent
1-3 h45-60 min60-120 min1-4 Wochen
Participantsdifferent
1-52-85-121-6
Formatdifferent
AsyncWorkshop + asyncWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesAssumption map, Test backlog, Risk rankingRanked Ideas, Clarified Options, Group PriorityExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
AssumptionsRiskExperimentsValidation
FacilitationPrioritizationVotingInclusion
ExperimentsGrowthAnalyticsValidation
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