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| Criterion |  Systems Thinking Evaporating Cloud |  DevOps Incident Timeline Analysis |  Product Strategy DIBB |  Operations Causal Factor Analysis |
|---|---|---|---|---|
Purposedifferent | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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 | Medium | Medium | Low | High |
Timedifferent | 60-120 min | 60-180 min | 1-2 h | 2-6 h |
Participantsdifferent | 2-8 | 3-10 | 2-8 | 3-10 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | 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 | Theory of ConstraintsAssumptionsSystems thinking | IncidentTimelineSite Reliability Engineering | StrategyDecisionAssumptionsHypothesis | CausalityIncidentRoot causeTimeline |