IT support satisfaction has a specific metric that most helpdesk teams track manually and inaccurately: first-call resolution. The ticket system says the issue was resolved. But was it actually resolved? Did the user open a new ticket for the same problem three days later because the fix was incomplete? Or worse, did they stop submitting tickets entirely because the last interaction was frustrating, and they are just working around a problem that your team has no visibility into? Deploy FeedbackRobot's IT support feedback automation and a short survey fires the moment a ticket is marked resolved in your ticketing system. It asks whether the issue was fully resolved, how the technician handled the interaction, and how long the resolution took relative to expectation. A response flagging an incomplete resolution routes back to the original technician immediately, before the user has given up or opened a new ticket. For MSPs and internal IT teams tracking SLA performance, the satisfaction data adds the human layer that SLA metrics miss. A ticket resolved in 2 hours but leaving the user confused about what was done and why scores poorly on the satisfaction survey even though it met the SLA target. That gap between technical compliance and actual user experience is where the real service quality lives, and this automation is how you measure it.