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| Criterion |  Systems Thinking Leverage Points |  Growth A/B Testing |  Product Strategy KPI Tree |  Engineering Goal Question Metric |
|---|---|---|---|---|
Purposedifferent | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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. | 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 | High | Medium | Medium |
Timedifferent | Half day | 1-4 Wochen | 90-180 min initial, dann laufend | 90-180 min |
Participantsdifferent | 3-12 | 1-6 | 3-8 | 3-6 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop |
Outputdifferent | Leverage Map, Action Strategy | Experiment results, Decision log, Learning summary | KPI Tree, Owner List | GQM Table, Metric Profiles |
Tagsno overlap | Systems thinkingChangeStrategy | ExperimentsGrowthAnalyticsValidation | MetricsStrategyAlignmentMeasurement | MetricsMeasurementEngineeringAlignment |