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| Criterion | ![]() Facilitation Dot Estimation | ![]() Growth A/B Testing | ![]() Decision Making Delphi Method | ![]() Product Discovery Smoke 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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 5-20 min | 1-4 Wochen | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-20 | 1-6 | 6-30 Experten | Nutzertraffic |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Effort Heatmap, Risk Signals, Discussion Targets | Experiment results, Decision log, Learning summary | Expert Forecast, Consensus Range, Assumption Notes | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | EstimationEffortRisk | ExperimentsGrowthAnalyticsValidation | ForecastingExpertsDecisionStrategy | ValidationExperimentsDemandGrowth |



