university feedback survey
Feedback Survey
University student feedback collected in June about a September experience is nearly useless operationally. Deploy this automation and module-level surveys go out at the end of each teaching block, giving departments the signal in time to adjust the programme before the next cohort arrives.
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 module overall?
Rating, 1 to 5 stars
02
How clear were the learning objectives?
Rating, 1 to 5 stars
03
How would you rate the lecturer's delivery?
Rating, 1 to 5 stars
04
What's one thing that would improve this module?
Open text
05
How likely are you to recommend this programme to a prospective student?
0 to 10 scale
The automation
Trigger: teaching module completes
Fires automatically within days of the teaching module ending.
API
Survey delivered by module
Goes out via Email or SMS, within days of the module ending.
Routed by module and department
A pattern of low scores on one module reaches that department's lead.
Positive sentiment
Positive feedback logged for the department record.
Needs attention
Concerns route to the department head, attributed to module and department.
Module performance dashboard
Scores by module and department, updated in real time.
Why this automation matters
University feedback has a structural inefficiency that most institutions have accepted for decades. Module evaluations go out at the end of semester. Students have mentally moved on to exams. Response rates are low. Results are compiled by the quality team and distributed to department heads in spring. By the time the module runs again, a year or more has passed and the feedback that might have improved it is a distant memory for everyone involved. Deploy FeedbackRobot's university feedback automation and the timing changes fundamentally. A short feedback form goes out within days of each module completion, while the teaching experience is still current and students are still engaged with the course material. Response rates are higher when the request is timely. The department head receives the aggregated results within a week of the module ending, while there is still time to brief the lecturer before they prepare the next iteration. For university services beyond teaching, the same automation extends to library services, student support interactions, and accommodation feedback. Each service area gets its own feedback stream, attributed to the relevant team, creating an institution-wide picture of the student experience that centrally-run annual surveys have never been able to provide.
Expected outcome
Connects to the platforms that matter
Triggers
API
Channels
Email, SMS
Common questions
Why survey after each module instead of at the end of the academic year?
End-of-year surveys arrive long after the specific module has faded from memory, and by the time results reach the department, the module has often already run again unchanged, module-level timing closes that gap.
Can this extend beyond teaching to library or student services?
Yes, the same short-survey, fast-turnaround format extends to other university services, each attributed to the relevant team rather than blended into one general score.
Who receives the results and how quickly?
The department head, typically within about a week of the module ending, while there's still time to brief the lecturer before the next cohort.
Does low response rate undermine the data?
Response rates tend to be higher than end-of-semester surveys specifically because the ask is timely, students are still engaged with the material, not trying to recall a course from months ago.