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| Criterion |  Knowledge Modeling PARA Method |  Agile Affinity Estimation |  Agile Planning Poker |  Agile Story Points |
|---|---|---|---|---|
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 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. | 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 | 1-3 h Setup, laufend | 30-90 min | 2-5 min je Item | laufend, 1-5 min je Item |
Participantsdifferent | 1 | 3-12 | 3-9 | 3-9 |
Formatdifferent | Async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Affinity Size Map, Grouped Estimates, Unclear Items | Relative Estimates, Assumption Notes, Split Candidates | Point Estimates, Reference Stories, Velocity Data |
Tagsno overlap | KnowledgeProductivityOrganization | EstimationBacklogRelative sizing | EstimationAgileRelative sizingTeam | EstimationAgileMeasurement |