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| Criterion |  Decision Making Delphi Method |  Product Strategy KPI Tree |  Growth A/B Testing |  Engineering Goal Question Metric |
|---|---|---|---|---|
Purposedifferent | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. | 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 | High | Medium |
Timedifferent | 1-4 Wochen | 90-180 min initial, dann laufend | 1-4 Wochen | 90-180 min |
Participantsdifferent | 6-30 Experten | 3-8 | 1-6 | 3-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | KPI Tree, Owner List | Experiment results, Decision log, Learning summary | GQM Table, Metric Profiles |
Tagsno overlap | ForecastingExpertsDecisionStrategy | MetricsStrategyAlignmentMeasurement | ExperimentsGrowthAnalyticsValidation | MetricsMeasurementEngineeringAlignment |