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| Criterion |  Growth Funnel Analysis |  Growth A/B Testing |  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. | 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 | Medium | High | Medium |
Timedifferent | 1-3 h | 1-4 Wochen | 90-180 min |
Participantsdifferent | 1-5 | 1-6 | 3-6 |
Formatdifferent | Async | Async | Workshop |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary | GQM Table, Metric Profiles |
Tagsno overlap | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementEngineeringAlignment |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
