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| Criterion |  Knowledge Modeling Knowledge Mapping |  Delivery Monte Carlo Forecasting |  Operations Waste Analysis |  Agile NoEstimates |
|---|---|---|---|---|
Purposedifferent | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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. | For a process that keeps people busy but creates little value, the method exposes waste. It directs attention to unnecessary movement, waiting times, rework, and overdelivery. | 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 | Low | Medium |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | 45-120 min | laufend |
Participantsdifferent | 3-12 | 1-8 | 2-8 | 2-12 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Forecast Percentiles, Throughput Dataset, Risk Communication | Waste Map, Prioritized Waste, Improvement Backlog | Throughput Data, Flow Forecast, Slicing Rules |
Tagsno overlap | KnowledgeMappingRisk | ForecastingFlowDelivery | WasteLeanProcess improvement | EstimationForecastingFlow |