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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
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.The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.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
LowMediumLowHigh
Timedifferent
1-2 TageMultiple workshops over several weeks30-60 min1-4 Wochen
Participantsdifferent
10-302-81-51-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsHooked loop, Trigger map, Reward design, Ethics checkCompleted Experiment Canvas, Success MetricExperiment results, Decision log, Learning summary
Tagsno overlap
UXNavigationFindabilityValidation
GrowthBehaviorRetention
ExperimentsValidationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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