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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 Goal Question Metric with its method-specific working model.
Engineering
Goal Question Metric
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric
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.Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs.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.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
1-3 h1-4 Wochen90-180 min1-2 h
Participantsdifferent
1-51-63-63-8
Formatdifferent
AsyncAsyncWorkshopWorkshop + async
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryGQM Table, Metric ProfilesNorth Star metric, Input metric tree, Measurement cadence
Tagsno overlap
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
MetricsMeasurementEngineeringAlignment
GrowthMetricsAlignmentRetention
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