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| Criterion |  Decision Making PERT Estimation |  Product Strategy KPI Tree |  Growth A/B Testing |
|---|---|---|---|
Purposedifferent | On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk Notes. | 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 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 | High |
Timedifferent | 15-45 min | 90-180 min initial, dann laufend | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | PERT Estimate, Expected Value, Risk Notes | KPI Tree, Owner List | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationUncertaintyRisk | MetricsStrategyAlignmentMeasurement | ExperimentsGrowthAnalyticsValidation |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
