Something breaks. An alert fires. Someone gets paged. The first decision your team makes is not what to do. It is who to call. And that decision is not random. There is always a name. Maybe two. The person who has been around long enough to remember what shipped last week and why. The support […]
Something broke last quarter. An alert fired. Someone got paged. What happened next was not solving the problem. What happened next was the investigation. Your team figured it out. Hours of work. Multiple systems. One engineer who finally connected the deploy to the symptom. They closed the ticket. They moved on. Last week, it happened […]
Something breaks. An alert fires. Someone gets paged. What happens next is not solving the problem. What happens next is figuring out what the problem actually is. That’s the investigation. And it’s eating your team alive. Your senior engineer opens Jira. Pulls the recent tickets. Tries to remember what shipped last week. Checks GitHub. Finds […]
We say we want prevention. But our systems are built to activate after failure. Alerts fire when thresholds are crossed. Tickets are created when customers report issues. Escalations begin when impact is already visible. By the time systems respond, the outcome is already determined. This is not a gap in tooling. It is the natural […]
Root cause analysis is everywhere. Postmortems are written. Incident reviews are held. Action items are tracked.The same classes of issues still surface. This is the contradiction. RCA exists at scale. Learning does not. This is not a failure of effort. It is structural. Organizations are not failing to analyze incidents. They are failing to accumulate […]
Support is where operational fragmentation becomes visible. In most organizations, support is not supposed to be the operational memory layer of the business. Support is supposed to help customers, manage communication, restore confidence, and route issues into the right operational paths. It is not supposed to function as the place where the business stores its […]
Organizations believe they learn from incidents. Every serious outage produces a postmortem.Every escalation triggers investigation.Operational teams hold reviews designed to prevent recurrence. The rituals of learning are everywhere. Yet the same incidents repeat. The same failure modes reappear months later.The same escalation loops emerge between teams.The same investigations begin again with the same question. What […]
Operational intelligence does not begin with prediction. It begins with an explanation. When incidents occur, teams investigate. They correlate signals, reconstruct timelines, and determine what caused the failure. The result is a root cause analysis. Most organizations treat this as the end of the process. The incident is closed. The system moves on. But something […]
Operational intelligence begins with structure. Modern organizations generate enormous volumes of operational data. Alerts. Tickets. Deployments. Commits. Support cases. Infrastructure events. These signals arrive continuously from systems like Jira, Salesforce, GitHub, ServiceNow, and observability platforms. Each system records its own events. None of them explain what actually happened. When incidents occur, teams reconstruct the story […]
The VP of Support carries one of the clearest mandates in a software company. Protect customer trust.Maintain CSAT and NPS.Drive retention and renewals.Reduce MTTR.Increase one-and-done resolution.Scale without adding headcount at the same rate as ticket volume.Keep agents engaged and resilient. It is a commercial role disguised as an operational one. And yet the Support leader […]