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| Criterion |  Product Discovery Smoke Test |  Decision Making PERT Estimation |  Facilitation Dot Estimation |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | On complex initiatives, a plain average tends to understate just how uncertain the outcome really is. It separates options, evaluation criteria, and open risks. The result is captured as a PERT Estimate, Expected Value, and Risk 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 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 | Low | High |
Timedifferent | 1-5 Tage | 15-45 min | 5-20 min | 1-4 Wochen |
Participantsdifferent | Nutzertraffic | 1-8 | 3-20 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Interest Metrics, Conversion Signal, Learning Note | PERT Estimate, Expected Value, Risk Notes | Effort Heatmap, Risk Signals, Discussion Targets | Experiment results, Decision log, Learning summary |
Tagsno overlap | ValidationExperimentsDemandGrowth | EstimationUncertaintyRisk | EstimationEffortRisk | ExperimentsGrowthAnalyticsValidation |