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| Criterion |  DevOps ChatOps |  Delivery Monte Carlo Forecasting |  Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | For operational work in a distributed team, the method links communication with direct system control. It records decisions right where the signal, the context, and the execution come together. | 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. | 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. |
Complexitydifferent | Medium | High | Low |
Timedifferent | Ongoing | 30-90 min Setup, danach laufend | 1-2 h |
Participantsdifferent | 2-20 | 1-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Chat Transcript, Action Log, Automations | Forecast Percentiles, Throughput Dataset, Risk Communication | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | CollaborationEngineeringIncident | ForecastingFlowDelivery | StrategyDecisionAssumptionsHypothesis |
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