Service businesses lose feedback quality in the time between a completed appointment and a delayed survey delivery. A customer who had a great interaction with a specific staff member can describe it precisely in the hour after the appointment. The same customer, surveyed 24 hours later, gives you a general positive rating. The customer surveyed three days later gives you a lower response rate and less useful data. Timing and specificity are directly linked. Deploy FeedbackRobot's post-service survey automation and the trigger is the appointment completion event, not a calendar. When a booking system marks an appointment as completed, the survey fires immediately. The questions are specific to the service type: technician quality, time on site, explanation of work done, likelihood to rebook. Each response is classified on arrival. A low score on technician quality routes to the operations manager. A comment about a specific staff member routes to their supervisor. A strong positive experience routes to a review request. The aggregate data across all service appointments gives your operations team a continuous quality signal rather than a periodic report. A technician whose post-service scores trend lower than the team average is visible in the data weeks before a complaint is formally raised. A service type that consistently generates positive feedback is evidence for what you are doing right in that area.