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| Criterion |  Growth A/B Testing |  Product Strategy Counter Metrics |  Product Discovery Smoke Test |  Product Strategy KPI Tree |
|---|---|---|---|---|
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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 30-60 min | 1-5 Tage | 90-180 min initial, dann laufend |
Participantsdifferent | 1-6 | 2-6 | Nutzertraffic | 3-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Counter Metric List, Guardrail Definitions | Interest Metrics, Conversion Signal, Learning Note | KPI Tree, Owner List |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementStrategyExperiments | ValidationExperimentsDemandGrowth | MetricsStrategyAlignmentMeasurement |