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| Criterion |  DevOps ChatOps |  Product Discovery Pretotyping |  Operations Root Cause Tree Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
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. | Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data. | For a problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | Ongoing | Stunden bis wenige Tage | 1-3 h | 1-4 h |
Participantsdifferent | 2-20 | 1-4 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Chat Transcript, Action Log, Automations | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | CollaborationEngineeringIncident | ValidationDemandMVP | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |