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| Criterion |  Knowledge Modeling PARA Method |  Agile Bucket System |  Agile Story Points |  Agile T-Shirt Sizing |
|---|---|---|---|---|
Purposedifferent | The PARA Method organizes knowledge into Projects, Areas, Resources, and Archives. It creates order when digital notes, files, and tasks no longer cleanly fit current work. | 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 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. | When effort only needs to be classified roughly, it makes comparability more important than false precision. It helps sort work quickly into manageable sizes. |
Complexitydifferent | Medium | Medium | Medium | Low |
Timedifferent | 1-3 h Setup, laufend | 30-90 min | laufend, 1-5 min je Item | 15-45 min |
Participantsdifferent | 1 | 3-12 | 3-9 | 2-12 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Bucketed Backlog, Relative Estimates, Split Candidates | Point Estimates, Reference Stories, Velocity Data | Size Buckets, Rough Backlog Map, Split Candidates |
Tagsno overlap | KnowledgeProductivityOrganization | EstimationBacklogRelative sizing | EstimationAgileMeasurement | EstimationAgileRoadmap |