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| Criterion |  Facilitation Dot Estimation |  Growth A/B Testing |  Agile Ideal Days |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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 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. | When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Low | High | Low | Medium |
Timedifferent | 5-20 min | 1-4 Wochen | 15-60 min | 1-5 Tage |
Participantsdifferent | 3-20 | 1-6 | 2-9 | Nutzertraffic |
Formatdifferent | Workshop | Async | Workshop + async | Async |
Outputdifferent | Effort Heatmap, Risk Signals, Discussion Targets | Experiment results, Decision log, Learning summary | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | EstimationEffortRisk | ExperimentsGrowthAnalyticsValidation | EstimationEffortAgile | ValidationExperimentsDemandDiscovery |