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| Criterion |  DevOps Incident Timeline Analysis |  DevOps ChatOps |  Product Discovery Smoke Test |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 60-180 min | Ongoing | 1-5 Tage | 1-5 Tage |
Participantsdifferent | 3-10 | 2-20 | Nutzertraffic | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions | Chat Transcript, Action Log, Automations | Interest Metrics, Conversion Signal, Learning Note | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | IncidentTimelineSite Reliability Engineering | CollaborationEngineeringIncident | ValidationExperimentsDemandGrowth | ValidationExperimentsDemandDiscovery |