View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Operations DMAIC |  Delivery Monte Carlo Forecasting |  Facilitation Dot Estimation |
|---|---|---|---|
Purposedifferent | For a process problem with fluctuating performance, the method brings analysis and improvement into a disciplined sequence. It creates a framework in which numbers, causes, and control come together. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | 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 | High | Low |
Timedifferent | 2-12 Wochen | 30-90 min Setup, danach laufend | 5-20 min |
Participantsdifferent | 3-10 | 1-8 | 3-20 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Project Charter, Measurement Plan, Cause Analysis, Control Plan | Forecast Percentiles, Throughput Dataset, Risk Communication | Effort Heatmap, Risk Signals, Discussion Targets |
Tagsno overlap | Continuous improvementQualityProcess improvement | ForecastingFlowDelivery | EstimationEffortRisk |
Often compared together
Methods with strong topical overlap with the current selection, not yet in the comparison.
