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| Criterion |  Facilitation Dot Estimation |  Growth Funnel Analysis |  Agile Bucket System |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | 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 a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | 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 | Low | Medium | Medium | High |
Timedifferent | 5-20 min | 1-3 h | 30-90 min | 1-4 Wochen |
Participantsdifferent | 3-20 | 1-5 | 3-12 | 1-6 |
Formatdifferent | Workshop | Async | Workshop | Async |
Outputdifferent | Effort Heatmap, Risk Signals, Discussion Targets | Funnel report, Drop-off analysis, Optimization hypotheses | Bucketed Backlog, Relative Estimates, Split Candidates | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationEffortRisk | AnalyticsConversionGrowth | EstimationBacklogRelative sizing | ExperimentsGrowthAnalyticsValidation |