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| Criterion |  Knowledge Modeling PARA Method |  Delivery Monte Carlo Forecasting |  Operations Waste Analysis |  Delivery Value Stream Mapping |
|---|---|---|---|---|
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. | 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 delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 1-3 h Setup, laufend | 30-90 min Setup, danach laufend | 45-120 min | 1-3 h |
Participantsdifferent | 1 | 1-8 | 2-8 | 4-10 |
Formatdifferent | Async | Workshop + async | Workshop | Workshop |
Outputdifferent | PARA Structure, Project Notes, Knowledge Archive | Forecast Percentiles, Throughput Dataset, Risk Communication | Waste Map, Prioritized Waste, Improvement Backlog | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | KnowledgeProductivityOrganization | ForecastingFlowDelivery | WasteLeanProcess improvement | LeanFlowWasteDelivery |