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| Criterion |  Systems Thinking Soft Systems Methodology |  Agile NoEstimates |  Decision Making Three-Point Estimation |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | Soft Systems Methodology helps explore unclear or politically charged problems systematically. Instead of forcing a quick answer, the method builds a shared understanding of perspectives and room for action. | 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. | 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. | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | 0.5-3 Tage | laufend | 10-30 min je Item | 30-90 min Setup, danach laufend |
Participantsdifferent | 5-15 | 2-12 | 1-8 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Rich Picture, Root Definitions, Conceptual Models, Change Agenda | Throughput Data, Flow Forecast, Slicing Rules | Three-Point Estimate, Risk Range, Assumption Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | Soft systemsComplexitySensemakingSystems thinking | EstimationForecastingFlow | EstimationUncertaintyForecasting | ForecastingFlowDelivery |