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Criterion
Paper illustration of Goal Question Metric with its method-specific working model.
Engineering
Goal Question Metric
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Purposedifferent
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 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.
Complexitydifferent
MediumHighMedium
Timedifferent
90-180 min1-4 Wochen1-2 Wochen
Participantsdifferent
3-61-61-6
Formatdifferent
WorkshopAsyncWorkshop + async
Outputdifferent
GQM Table, Metric ProfilesExperiment results, Decision log, Learning summaryExperiment card, Result summary, Next bet
Tagsno overlap
MetricsMeasurementEngineeringAlignment
ExperimentsGrowthAnalyticsValidation
MarketingGrowthExperimentsLearning
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Paper illustration of KPI Tree with its method-specific working model.
Product Strategy
KPI Tree
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
A paper-based illustration representing North Star Metric with its core stages and visible working result.
Growth
North Star Metric