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| Criterion |  Growth Funnel Analysis |  Decision Making Delphi Method |  Engineering Goal Question Metric |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses. | 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. | 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 | Medium | High | Medium | High |
Timedifferent | 1-3 h | 1-4 Wochen | 90-180 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 6-30 Experten | 3-6 | 1-6 |
Formatdifferent | Async | Async | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Expert Forecast, Consensus Range, Assumption Notes | GQM Table, Metric Profiles | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | ForecastingExpertsDecisionStrategy | MetricsMeasurementEngineeringAlignment | ExperimentsGrowthAnalyticsValidation |