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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 KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
Paper illustration of Goal Question Metric with its method-specific working model.
Engineering
Goal Question 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.When metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list.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.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
1-3 h1-4 Wochen90-180 min initial, dann laufend90-180 min
Participantsdifferent
1-51-63-83-6
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summaryKPI Tree, Owner ListGQM Table, Metric Profiles
Tagsno overlap
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
MetricsStrategyAlignmentMeasurement
MetricsMeasurementEngineeringAlignment
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