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| Criterion | ![]() Knowledge Modeling PARA Method | ![]() Decision Making Three-Point Estimation | ![]() 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. | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | 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 |
Timedifferent | 1-3 h Setup, laufend | 10-30 min je Item | 30-90 min |
Participantsdifferent | 1 | 1-8 | 3-12 |
Formatdifferent | Async | Workshop + async | Workshop |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Three-Point Estimate, Risk Range, Assumption Notes | Affinity Size Map, Grouped Estimates, Unclear Items |
Tagsno overlap | KnowledgeProductivityOrganization | EstimationUncertaintyForecasting | EstimationBacklogRelative sizing |
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