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| Criterion |  Decision Making Three-Point Estimation |  Facilitation Dot Estimation |  Growth Funnel Analysis |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | 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 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 | 10-30 min je Item | 5-20 min | 1-3 h | 1-4 Wochen |
Participantsdifferent | 1-8 | 3-20 | 1-5 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Three-Point Estimate, Risk Range, Assumption Notes | Effort Heatmap, Risk Signals, Discussion Targets | Funnel report, Drop-off analysis, Optimization hypotheses | Experiment results, Decision log, Learning summary |
Tagsno overlap | EstimationUncertaintyForecasting | EstimationEffortRisk | AnalyticsConversionGrowth | ExperimentsGrowthAnalyticsValidation |