Government service satisfaction measurement that operates on an annual survey cycle has a fundamental problem: the results arrive too late to drive the kind of improvements that would change the next year's results. A licensing department that discovers in February that citizens rated their November experience poorly cannot go back and fix those interactions. They can only try to do better next year, without the specific operational data to know what to change. Deploy FeedbackRobot's government satisfaction automation and the measurement cycle compresses from annual to continuous. After each citizen interaction, whether in person, by phone, or online, a brief survey goes out via the contact information on file. Responses are attributed to the specific service type, channel, and department. A service that consistently scores below the agency average is identifiable within weeks of the automation going live. For public sector leaders managing department performance under service standard obligations, the data also serves an accountability function. Continuous satisfaction measurement provides the evidence base for performance discussions that is more credible than complaint volumes alone. A department that can demonstrate improving citizen satisfaction scores over 12 months has a stronger case for operational investment than one that can only report that formal complaints have not increased.