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| Criterion |  Knowledge Modeling PARA Method |  Agile Story Points |  Agile Bucket System |  Agile Affinity Estimation |
|---|---|---|---|---|
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 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 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 many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | laufend, 1-5 min je Item | 30-90 min | 30-90 min |
Participantsdifferent | 1 | 3-9 | 3-12 | 3-12 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Point Estimates, Reference Stories, Velocity Data | Bucketed Backlog, Relative Estimates, Split Candidates | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | KnowledgeProductivityOrganization | EstimationAgileMeasurement | EstimationBacklogRelative sizing | EstimationBacklogRelative sizing |