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| Criterion |  Growth Funnel Analysis |  Growth Flywheel |  Agile NoEstimates |  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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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 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 | Medium | High |
Timedifferent | 1-3 h | 60-120 min | laufend | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-8 | 2-12 | 1-6 |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Throughput Data, Flow Forecast, Slicing Rules | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | GrowthRetentionConversion | EstimationForecastingFlow | ExperimentsGrowthAnalyticsValidation |