Support Process Upgrade: Clear SLAs and Faster Feedback Loops
From February 1, 2022, we upgraded our support process to improve clarity and response efficiency. The new process standardizes intake, prioritization, escalation, and closure, so customers can track progress with less ambiguity.
On February 1, 2022, Sionevo upgraded its support process to make service delivery more predictable for customers and easier to operate for both sides. Support is not only about answering questions. It is about reducing uncertainty, keeping systems stable, and turning recurring issues into permanent improvements. Our goal is to provide a clear path from request intake to resolution and to help customer teams regain time for their core work.
The first change is a clearer lifecycle. Every request now follows a consistent sequence: intake, classification, priority decision, assignment, progress updates, resolution proposal, verification, and closure. Customers can see what stage the request is in and what information is still needed. This reduces back and forth messaging and avoids situations where multiple threads drift out of sync.
Second, we introduced standard severity levels that map to response expectations. Instead of informal labels, we use a uniform model that considers business impact, scope, and urgency. This helps customers and engineers reach the same conclusion quickly and reduces the chance of over reacting or under reacting. It also supports more consistent escalation when a situation changes.
Third, we standardized incident handling. For high impact cases, we establish a single owner, a dedicated communication channel, a decision log, and a timeline of actions. We also define checkpoints for recovery, stabilization, and root cause analysis. The intent is to shorten the window of uncertainty and keep the team focused on the next most effective action rather than debating assumptions.
Fourth, we strengthened knowledge reuse. After closure, we label root causes and resolutions and link them to runbooks, known issues, and configuration baselines. This allows repeated questions to be solved once and reduces the load on both customer operators and our support engineers. Over time, the knowledge base also becomes an input for product improvement and preventive checks.
For customers, the practical benefit is greater transparency. We commit to regular updates on active cases, including what has been verified, what remains uncertain, and what options are under evaluation. When a change is proposed, we include a rollback plan and a verification method. This makes decisions safer and helps stakeholders understand why a particular action is recommended.
For internal operations, the new process also helps us measure what matters. We track response time, time to mitigation, time to resolution, and the ratio of recurring issues. These metrics are used to improve staffing, refine playbooks, and identify where automation can remove repetitive work. The goal is not to optimize charts but to reduce real customer downtime and operational stress.
We appreciate the feedback from customers that guided this upgrade. We will keep refining the process in small, verifiable steps and will continue to invest in secure, reliable, and maintainable delivery. If you have suggestions on what would make support more effective in your environment, please share them through your usual channels so we can improve together.