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| Criterion |  Product Strategy DIBB |  Engineering Kanban |  Delivery Monte Carlo Forecasting |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
Purposedifferent | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. |
Complexitydifferent | Low | Medium | High | Low |
Timedifferent | 1-2 h | Ongoing | 30-90 min Setup, danach laufend | 45-90 min |
Participantsdifferent | 2-8 | 2-12 | 1-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Kanban board, WIP policies, Flow metrics | Forecast Percentiles, Throughput Dataset, Risk Communication | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | FlowVisual managementDelivery | ForecastingFlowDelivery | AssumptionsRiskDecisionDiscovery |