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| Criterion |  Growth A/B Testing |  Product Strategy KPI Tree |  Growth Funnel Analysis |  Product Strategy Counter Metrics |
|---|---|---|---|---|
Purposedifferent | 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. | 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. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 1-4 Wochen | 90-180 min initial, dann laufend | 1-3 h | 30-60 min |
Participantsdifferent | 1-6 | 3-8 | 1-5 | 2-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | KPI Tree, Owner List | Funnel report, Drop-off analysis, Optimization hypotheses | Counter Metric List, Guardrail Definitions |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | MetricsStrategyAlignmentMeasurement | AnalyticsConversionGrowth | MetricsMeasurementStrategyExperiments |