View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
Selected:NoEstimatesDot EstimationLASR (Lightweight Approach for Software Reviews)Monte Carlo Forecasting
| Criterion |  Agile NoEstimates |  Facilitation Dot Estimation |  Architecture LASR (Lightweight Approach for Software Reviews) |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. | LASR helps development teams identify where their software falls short of important quality goals and which improvements to consider. A small group with existing system knowledge can make an initial assessment and investigate open questions in more detail. | 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. |
Complexitydifferent | Medium | Low | Medium | High |
Timedifferent | laufend | 5-20 min | 3–4 h for initial assessment; preparation and deeper analysis additional | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 3-20 | 1 or a small team; particularly suitable for 3–4 people | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Effort Heatmap, Risk Signals, Discussion Targets | Lean Mission Statement describing the software’s purpose, Prioritized quality goals and evaluation criteria, Risks and estimated gaps against quality goals, More closely examined findings and open checks | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | EstimationForecastingFlow | EstimationEffortRisk | ArchitectureQualityRiskAssessmentLean | ForecastingFlowDelivery |