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| Criterion | ![]() Agile NoEstimates | ![]() DevOps Incident Timeline Analysis | ![]() Operations Causal Factor Analysis |
|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. | 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 | High |
Timedifferent | laufend | 60-180 min | 2-6 h |
Participantsdifferent | 2-12 | 3-10 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | EstimationForecastingFlow | IncidentTimelineSite Reliability Engineering | CausalityIncidentRoot causeTimeline |
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