View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion | ![]() Growth A/B Testing | ![]() Operations PDCA Cycle | ![]() Facilitation Dot Estimation |
|---|---|---|---|
Purposedifferent | 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 an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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. |
Complexitydifferent | High | Low | Low |
Timedifferent | 1-4 Wochen | 1 h bis mehrere Wochen | 5-20 min |
Participantsdifferent | 1-6 | 1-8 | 3-20 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | Effort Heatmap, Risk Signals, Discussion Targets |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | Continuous improvementLeanExperiments | EstimationEffortRisk |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.






