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| Criterion | ![]() Facilitation Dot Estimation | ![]() Growth A/B Testing | ![]() Growth Pirate Metrics AARRR | ![]() 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. | 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. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. | 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 | Medium | Low |
Timedifferent | 5-20 min | 1-4 Wochen | 1-2 h Setup, laufend | 30-60 min |
Participantsdifferent | 3-20 | 1-6 | 2-8 | 1-5 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Effort Heatmap, Risk Signals, Discussion Targets | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | Completed Experiment Canvas, Success Metric |
Tagsno overlap | EstimationEffortRisk | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | ExperimentsValidationDiscoveryHypothesis |



