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| Criterion |  Decision Making Delphi Method |  Product Discovery Smoke Test |  Engineering Goal Question Metric |  Growth A/B Testing |
|---|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. | 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 | High | Low | Medium | High |
Timedifferent | 1-4 Wochen | 1-5 Tage | 90-180 min | 1-4 Wochen |
Participantsdifferent | 6-30 Experten | Nutzertraffic | 3-6 | 1-6 |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Interest Metrics, Conversion Signal, Learning Note | GQM Table, Metric Profiles | Experiment results, Decision log, Learning summary |
Tagsno overlap | ForecastingExpertsDecisionStrategy | ValidationExperimentsDemandGrowth | MetricsMeasurementEngineeringAlignment | ExperimentsGrowthAnalyticsValidation |