View methods side by side.
Choose up to four methods. Add them using the search and share the comparison by copying its link.
| Criterion |  Engineering Failure Scenario Analysis |  Delivery Monte Carlo Forecasting |  Engineering Kanban |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | In critical processes, it is not enough to plan only for the normal case. Failure Scenario Analysis looks at the path into failure and shows which failures, chains, and control gaps cause the most damage. | 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. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 1-3 h | 30-90 min Setup, danach laufend | Ongoing | 45-60 min |
Participantsdifferent | 3-8 | 1-8 | 2-12 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Failure Scenarios, Risk Notes, Control Gaps, Test and Response Actions | Forecast Percentiles, Throughput Dataset, Risk Communication | Kanban board, WIP policies, Flow metrics | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | FailureResilienceRisk | ForecastingFlowDelivery | FlowVisual managementDelivery | AssumptionsRiskExperimentsValidation |