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| Criterion |  Decision Making Force Field Analysis |  DevOps Incident Timeline Analysis |  Product Strategy DIBB |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | For an incident with an unclear sequence, the method makes the timeline precisely visible. It separates perception, reaction, and delay so cause and effect become more clearly readable. | 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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 45-90 min | 60-180 min | 1-2 h | 2-6 h |
Participantsdifferent | 3-12 | 3-10 | 2-8 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Force Field Map, Change Levers, Risk Notes | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | DIBB document, Belief list, Bet list, Learning report | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | ChangeDecisionStrategy | IncidentTimelineSite Reliability Engineering | StrategyDecisionAssumptionsHypothesis | CausalityIncidentRoot causeTimeline |