Automation
Post-Service Survey: Capture Service Quality While the Appointment Is Still Fresh
The best time to measure a service experience is immediately after it ends, not 24 hours later in a scheduled email. Deploy this automation and a short survey fires the moment an appointment is marked complete, reaching the customer while the details are still specific.
How it works
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Trigger: an appointment is marked complete
Fires the moment the appointment is marked complete.
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Survey delivered within the hour
Goes out via Email or SMS, while the visit is still specific.
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Routed by technician performance
A low score tied to a specific technician reaches their supervisor same-day.
✓ Routes to a review request at peak satisfaction.
→ Low scores route to the operations manager same-day.
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Service performance dashboard
Scores by technician and service type, updated in real time.
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.
Frequently asked questions
Why trigger from appointment completion rather than a fixed delay?
A customer's memory of a service visit is most accurate in the first two hours, a fixed 24-hour delay already measures a softened, more general impression.
What happens to a low technician-quality score?
It routes to the operations manager, and if a specific staff member is mentioned, that comment routes to their supervisor directly.
Can this identify a technician trending below the team average?
Yes, the aggregate data surfaces that pattern weeks before a formal complaint would typically be raised.
Does a strong positive response do anything beyond logging the score?
Yes, it can route to a review request at the same moment, while satisfaction is at its peak.
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