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| Criterion |  Agile Story Splitting |  Facilitation Dot Estimation |  Growth A/B Testing |  Agile Affinity Estimation |
|---|---|---|---|---|
Purposedifferent | When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify. | 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 many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 30-60 min | 5-20 min | 1-4 Wochen | 30-90 min |
Participantsdifferent | 2-6 | 3-20 | 1-6 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop |
Outputdifferent | Smaller Stories, Acceptance Criteria, Split Rationale | Effort Heatmap, Risk Signals, Discussion Targets | Experiment results, Decision log, Learning summary | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | BacklogIterationDelivery | EstimationEffortRisk | ExperimentsGrowthAnalyticsValidation | EstimationBacklogRelative sizing |