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| Criterion |  DevOps ChatOps |  Product Discovery Pretotyping |  Operations Root Cause Tree 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. | 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. | 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 | Low | Medium | Low |
Timedifferent | Ongoing | Stunden bis wenige Tage | 1-3 h | 15-30 min |
Participantsdifferent | 2-20 | 1-4 | 2-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Chat Transcript, Action Log, Automations | Pretotyping sketch, Test setup, Conversion data, Go or no-go decision | Cause Tree, Evidence Notes, Countermeasures | Root cause notes, Countermeasures |
Tagsno overlap | CollaborationEngineeringIncident | ValidationDemandMVP | Root causeTreeIncidentQuality | Root causeIncidentLeanProblem solving |