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| Criterion |  Growth Funnel Analysis |  Facilitation Dot Estimation |  Growth Flywheel |  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 size or effort can only be estimated roughly, Dot Estimation condenses the group's experience into a quick range. It turns individual contributions into a visible selection. The result is captured as an Effort Heatmap, Risk Signals, and Discussion Targets. | 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 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 | Low | Medium | High |
Timedifferent | 1-3 h | 5-20 min | 60-120 min | 1-4 Wochen |
Participantsdifferent | 1-5 | 3-20 | 3-8 | 1-6 |
Formatdifferent | Async | Workshop | Workshop | Async |
Outputdifferent | Funnel report, Drop-off analysis, Optimization hypotheses | Effort Heatmap, Risk Signals, Discussion Targets | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | AnalyticsConversionGrowth | EstimationEffortRisk | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation |