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| Criterion |  Operations Visual Management |  Operations After-Action Review |  Delivery Monte Carlo Forecasting |  Operations Learning Review |
|---|---|---|---|---|
Purposedifferent | With high tempo and many parallel topics, the method makes status, deviations, and priorities visible at a glance. It reduces search effort and prevents what matters from getting lost in daily work. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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. | After a project phase with mixed results, the method makes learning from the individual case reusable. It connects events, decisions, and systemic conditions into robust insights. |
Complexitydifferent | Low | Low | High | Medium |
Timedifferent | Ongoing | 20-45 min | 30-90 min Setup, danach laufend | 1-3 h |
Participantsdifferent | 1-20 | 3-12 | 1-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Visual Board, Status Indicators, Exception Cues | Lessons learned, Action items, Event summary | Forecast Percentiles, Throughput Dataset, Risk Communication | Learning Review Notes, System Factors, Improvement Actions |
Tagsno overlap | SignalsOperationsVisual management | LearningOperationsImprovement | ForecastingFlowDelivery | LearningRetrospectiveIncidentOperations |