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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 Power-Interest Grid with a method-specific labelled workspace.
Facilitation
Power Interest Grid
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 many stakeholders compete for attention at once, the Power Interest Grid sorts them by influence and stake. It turns individual contributions into a visible selection. The result is captured as a Power Interest Grid and a stakeholder-specific strategy.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
MediumHighLowLow
Timedifferent
1-3 h1-4 Wochen30-60 min1-5 Tage
Participantsdifferent
1-51-62-8Nutzertraffic
Formatdifferent
AsyncAsyncWorkshopAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryPower Interest Grid, Strategy per StakeholderInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
StakeholdersFacilitationAlignmentPlanning
ValidationExperimentsDemandGrowth
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