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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration of Hooked Model with its method-specific working model.
Growth
Hooked Model
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
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.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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions.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
MediumMediumLowHigh
Timedifferent
1-3 hMultiple workshops over several weeks30-60 min1-4 Wochen
Participantsdifferent
1-52-82-61-6
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesHooked loop, Trigger map, Reward design, Ethics checkCounter Metric List, Guardrail DefinitionsExperiment results, Decision log, Learning summary
Tagsno overlap
AnalyticsConversionGrowth
GrowthBehaviorRetention
MetricsMeasurementStrategyExperiments
ExperimentsGrowthAnalyticsValidation
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