Building an Odoo post-go-live support model

Post-go-live Odoo support needs clear channels, severity rules, process ownership, technical escalation, monitoring, release control, and knowledge transfer.

The first weeks after go-live produce a mixture of defects, data corrections, user questions, changed requirements, and process uncertainty. Treating all of them as development tickets slows recovery and hides the actual pattern. Create one visible intake Users need a clear place to report issues with a simple required template. Side messages and verbal requests should be captured in the same queue so priorities and repeated problems remain visible. Separate hypercare from steady support Hypercare may include extended coverage, daily reviews, reconciliation, rapid configuration decisions, and on-site help. Define when it ends and what service levels, roles, and release cadence replace it. Keep business and technical ownership Process owners decide policy, training, and acceptable workarounds. Functional support diagnoses configuration and data. Technical teams handle code, integrations, performance, and infrastructure. Escalation should preserve this context. Control production changes Even urgent fixes need impact review, testing, approval, deployment evidence, and rollback thinking. Bundle low-risk improvements into a predictable release rhythm after operations stabilise. Practical checklist Use one support queue with required impact and evidence fields. Define severity, response expectations, and escalation paths. Set hypercare coverage and exit criteria. Maintain process-owner and technical-owner responsibilities. Review trends, knowledge gaps, and production changes regularly. Final decision A mature support model reduces repeated uncertainty. It restores operations quickly while turning recurring issues into better process, data, training, monitoring, or software.