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| Criterion |  Product Strategy DIBB |  DevOps ChatOps |  Decision Making Force Field Analysis |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | 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. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. | 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. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 1-2 h | Ongoing | 45-90 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-20 | 3-12 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Chat Transcript, Action Log, Automations | Force Field Map, Change Levers, Risk Notes | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | CollaborationEngineeringIncident | ChangeDecisionStrategy | ForecastingExpertsDecisionStrategy |