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| Criterion |  Facilitation Dot Estimation |  Decision Making Wideband Delphi |  Growth A/B Testing |  Product Discovery Experiment Canvas |
|---|---|---|---|---|
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. | A single opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. |
Complexitydifferent | Low | High | High | Low |
Timedifferent | 5-20 min | 1-4 h or multiple rounds | 1-4 Wochen | 30-60 min |
Participantsdifferent | 3-20 | 4-12 Experten | 1-6 | 1-5 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Effort Heatmap, Risk Signals, Discussion Targets | Estimate Range, Assumption Log, Expert Consensus Notes | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric |
Tagsno overlap | EstimationEffortRisk | EstimationExpertsForecasting | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis |