View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Engineering Kanban |  Agile Planning Poker |  Agile Bucket System |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | When a large batch of work needs a fast, rough estimate, it sorts items into predefined size buckets. It sorts work by value, risk, and delivery ability. The result is captured as a Bucketed Backlog, Relative Estimates, and Split Candidates. | 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 | Ongoing | 2-5 min je Item | 30-90 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 3-9 | 3-12 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Relative Estimates, Assumption Notes, Split Candidates | Bucketed Backlog, Relative Estimates, Split Candidates | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowVisual managementDelivery | EstimationAgileRelative sizingTeam | EstimationBacklogRelative sizing | ForecastingFlowDelivery |