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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.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.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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
LowMediumMediumHigh
Timedifferent
1-2 Tage1-3 h60-120 min1-4 Wochen
Participantsdifferent
10-301-53-81-6
Formatdifferent
AsyncAsyncWorkshopAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsFunnel report, Drop-off analysis, Optimization hypothesesFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
UXNavigationFindabilityValidation
AnalyticsConversionGrowth
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
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