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| Criterion |  DevOps ChatOps |  Growth Growth Experiment |  Operations Causal Factor Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | Ongoing | 1-2 Wochen | 2-6 h | 15-30 min |
Participantsdifferent | 2-20 | 1-6 | 3-10 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Chat Transcript, Action Log, Automations | Experiment card, Result summary, Next bet | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions | Root cause notes, Countermeasures |
Tagsno overlap | CollaborationEngineeringIncident | MarketingGrowthExperimentsLearning | CausalityIncidentRoot causeTimeline | Root causeIncidentLeanProblem solving |