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| Criterion |  Agile Bucket System |  Agile Planning Poker |  Delivery Monte Carlo Forecasting |  Product Discovery Dual-Track Agile |
|---|---|---|---|---|
Purposedifferent | 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. | When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions. | 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 uncertainty and delivery run in parallel, it separates learning work from implementation while keeping both connected. It prevents unvalidated ideas from falling directly into the delivery stream. |
Complexitydifferent | Medium | Low | High | Medium |
Timedifferent | 30-90 min | 2-5 min je Item | 30-90 min Setup, danach laufend | Laufend, Wochen bis Monate |
Participantsdifferent | 3-12 | 3-9 | 1-8 | 4-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Relative Estimates, Assumption Notes, Split Candidates | Forecast Percentiles, Throughput Dataset, Risk Communication | Discovery Backlog, Delivery Backlog, Experiment-Ergebnisse, Validierte Stories |
Tagsno overlap | EstimationBacklogRelative sizing | EstimationAgileRelative sizingTeam | ForecastingFlowDelivery | AgileDiscoveryDelivery |