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| Criterion |  DevOps ChatOps |  Agile Ideal Days |  Decision Making Delphi Method |  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. | When effort needs to be thought of as real working time, it offers a simple common denominator for comparison. It sorts work by value, risk, and delivery ability. The result is captured as Ideal Day Estimates, Assumption Notes, and Capacity Caveats. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 | Low | High | Low |
Timedifferent | Ongoing | 15-60 min | 1-4 Wochen | 1-2 h |
Participantsdifferent | 2-20 | 2-9 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Chat Transcript, Action Log, Automations | Ideal Day Estimates, Assumption Notes, Capacity Caveats | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | CollaborationEngineeringIncident | EstimationEffortAgile | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |