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| Criterion |  Knowledge Modeling PARA Method |  Decision Making Three-Point Estimation |  Agile Affinity Estimation |  Agile NoEstimates |
|---|---|---|---|---|
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. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | 10-30 min je Item | 30-90 min | laufend |
Participantsdifferent | 1 | 1-8 | 3-12 | 2-12 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Three-Point Estimate, Risk Range, Assumption Notes | Affinity Size Map, Grouped Estimates, Unclear Items | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | KnowledgeProductivityOrganization | EstimationUncertaintyForecasting | EstimationBacklogRelative sizing | EstimationForecastingFlow |