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| Criterion |  Growth A/B Testing |  Innovation Lean Startup |  Product Strategy KPI Tree |  Engineering Goal Question Metric |
|---|---|---|---|---|
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. | For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight. | 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. | 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 | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | Wochen bis Monate je Lernzyklus | 90-180 min initial, dann laufend | 90-180 min |
Participantsdifferent | 1-6 | 2-8 | 3-8 | 3-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Hypothesis list, MVPs, Learning reports, Pivot or persevere decision | KPI Tree, Owner List | GQM Table, Metric Profiles |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | LeanStartupValidationMVP | MetricsStrategyAlignmentMeasurement | MetricsMeasurementEngineeringAlignment |