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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
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
Paper illustration of KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
Purposedifferent
Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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 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.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
60-120 min1-4 Wochen90-180 min90-180 min initial, dann laufend
Participantsdifferent
3-81-63-63-8
Formatdifferent
WorkshopAsyncWorkshopWorkshop + async
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryGQM Table, Metric ProfilesKPI Tree, Owner List
Tagsno overlap
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
MetricsMeasurementEngineeringAlignment
MetricsStrategyAlignmentMeasurement
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