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Criterion
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When product teams track many metrics, the view of the actual customer outcome easily gets lost. A North Star Metric bundles growth, usage, and value contribution into one signal that makes the system's direction visible.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 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
1-2 h1-3 hMultiple workshops over several weeks1-4 Wochen
Participantsdifferent
3-81-52-81-6
Formatdifferent
Workshop + asyncAsyncWorkshop + asyncAsync
Outputdifferent
North Star metric, Input metric tree, Measurement cadenceFunnel report, Drop-off analysis, Optimization hypothesesHooked loop, Trigger map, Reward design, Ethics checkExperiment results, Decision log, Learning summary
Tags1 shared
GrowthMetricsAlignmentRetention
AnalyticsConversionGrowth
GrowthBehaviorRetention
ExperimentsGrowthAnalyticsValidation
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