service feedback survey
Feedback Survey
A service feedback survey sent days after the appointment measures memory. One triggered at service completion measures experience. Deploy this automation and every service delivery generates a short survey at the right moment, classified and routed to the right team without manual intervention.
About this automation
Type
Feedback Survey
Industry
Free to use
✓ Yes
Deploy time
Under 5 min
Triggers
API
Delivers via
Email, SMS
What this survey asks
01
How would you rate this service?
Rating, 1 to 5 stars, fires at completion
02
Which advisor or technician assisted you?
Auto-captured if available, drives attribution
03
Was the work explained clearly?
Yes / No
04
How likely are you to use this service again?
0 to 10 scale
05
Anything else we should know?
Open text
The automation
Trigger: a service delivery completes
Fires the instant the service delivery completes.
API
Survey delivered at completion
Goes out via Email or SMS, specific to the service type.
Routed by advisor performance
A low score tied to a specific advisor reaches their supervisor with attribution.
Positive sentiment
Logged as a benchmark.
Needs attention
Low scores route to the relevant supervisor with attribution.
Advisor performance dashboard
Scores by advisor and service type, updated in real time.
Why this automation matters
Service quality is experienced in the moment and fades quickly in the recollection. The specific details that make feedback actionable: which technician, which step, which part of the experience, are available in the first hour after a service is delivered and become increasingly general over the following days. A service feedback survey that arrives a week later is measuring a different thing than one that arrives the same day. Deploy FeedbackRobot's service feedback survey automation and the trigger is the completion event. When a work order is marked done, when a booking status changes to complete, when a CRM marks a service as delivered, the survey fires. It reaches the customer while the service is specific in their memory and while your team still has context about what was delivered and by whom. Whether customers think of this as a service feedback form, a satisfaction check, or a follow-up survey, the channel and timing are optimised to capture their honest, specific response. The operational value accumulates as the data builds. A pattern of low scores on a specific service type is a training signal. A pattern of high scores on a specific technician or team is a benchmark. The feedback-to-action cycle that took weeks when surveys were collected monthly now runs week-over-week, giving your service operation a continuous quality signal rather than a periodic report.
Expected outcome
Connects to the platforms that matter
Triggers
API
Channels
Email, SMS
Common questions
Why attribute feedback to a specific advisor or technician?
Individual Google reviews don't reveal which team member or which day was responsible, attribution at that level is what reveals the gap before it averages out.
How is this different from post-service-survey?
Very similar, this one emphasizes advisor and technician-level attribution as the core feature, useful for businesses tracking individual performance specifically.
What triggers this, a booking system or a CRM?
Either, whatever marks the service as delivered, a work order closing, a booking status change, or a CRM update, can fire the survey.
What does a pattern of high scores on one technician become useful for?
A benchmark, useful for identifying what that person is doing well and whether it's replicable across the team.