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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Alignment Mapping.
Facilitation
Alignment Mapping
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
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 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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 h1-2 h1-2 Wochen1-4 Wochen
Participantsdifferent
1-54-121-61-6
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesAlignment Map, Open Issues, Decision QuestionsExperiment card, Result summary, Next betExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
AlignmentStakeholdersStrategyFacilitation
MarketingGrowthExperimentsLearning
ExperimentsGrowthAnalyticsValidation
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