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| Criterion |  Agile NoEstimates |  Growth Funnel Analysis |  Decision Making Delphi Method |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. | 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 | High |
Timedifferent | laufend | 1-3 h | 1-4 Wochen | 1-4 Wochen |
Participantsdifferent | 2-12 | 1-5 | 6-30 Experten | 1-6 |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Funnel report, Drop-off analysis, Optimization hypotheses | Expert Forecast, Consensus Range, Assumption Notes | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationForecastingFlow | AnalyticsConversionGrowth | ForecastingExpertsDecisionStrategy | ExperimentsGrowthAnalyticsValidation |