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| Criterion |  Knowledge Modeling PARA Method |  Decision Making Wideband Delphi |  Knowledge Modeling IBIS |  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 opinion rarely holds up for planning when the future is genuinely uncertain. It separates options, evaluation criteria, and open risks. The result is captured as an Estimate Range, Assumption Log, and Expert Consensus Notes. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-3 h Setup, laufend | 1-4 h or multiple rounds | 1-3 h | laufend |
Participantsdifferent | 1 | 4-12 Experten | 2-8 | 2-12 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Estimate Range, Assumption Log, Expert Consensus Notes | Issue Map, Positions, Argument Notes | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | KnowledgeProductivityOrganization | EstimationExpertsForecasting | RationaleKnowledgeDecision | EstimationForecastingFlow |