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| Criterion |  Agile Bucket System |  Knowledge Modeling Event Modeling |  Agile Planning Poker |  Agile Story Points |
|---|---|---|---|---|
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. | Event Modeling connects business workflows with commands, events, and views into one coherent mental model. It helps design behavior, UI, and technical slices from the same underlying logic. | 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 teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 30-90 min | 2-6 h | 2-5 min je Item | laufend, 1-5 min je Item |
Participantsdifferent | 3-12 | 2-8 | 3-9 | 3-9 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Bucketed Backlog, Relative Estimates, Split Candidates | Event Model, UI Flow, Commands, Read Models | Relative Estimates, Assumption Notes, Split Candidates | Point Estimates, Reference Stories, Velocity Data |
Tagsno overlap | EstimationBacklogRelative sizing | EventsBlueprintDomain-Driven DesignBehavior | EstimationAgileRelative sizingTeam | EstimationAgileMeasurement |