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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
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 several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable.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 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
HighMediumLowLow
Timedifferent
1-4 Wochen1-2 h5-15 min1-5 Tage
Participantsdifferent
1-64-123-20Nutzertraffic
Formatdifferent
AsyncWorkshopWorkshopAsync
Outputdifferent
Experiment results, Decision log, Learning summaryAlignment Map, Open Issues, Decision QuestionsRanked list, Consensus signal, ShortlistInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
AlignmentStakeholdersStrategyFacilitation
FacilitationVotingConsensusPrioritization
ValidationExperimentsDemandGrowth
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