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| Criterion |  Engineering Goal Question Metric |  Growth Funnel Analysis |  Product Strategy Counter Metrics |  Growth A/B Testing |
|---|---|---|---|---|
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 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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 90-180 min | 1-3 h | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-6 | 1-5 | 2-6 | 1-6 |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | GQM Table, Metric Profiles | Funnel report, Drop-off analysis, Optimization hypotheses | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary |
Tagsno overlap | MetricsMeasurementEngineeringAlignment | AnalyticsConversionGrowth | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation |