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Customer Effort Score (CES) Survey for Universities

Universities serve students across a long, high-stakes journey, from admission and orientation through courses, services, and graduation, and satisfaction at each stage shapes outcomes, rankings, and reputation. Student feedback surveys give institutions a structured way to measure teaching quality, course design, academic support, campus facilities, and the wider student experience that determines whether learners thrive, persist, or quietly disengage. They help departments identify struggling courses, improve advising and support services, and demonstrate quality for accreditation and rankings. Because graduate and alumni sentiment also drives word of mouth and donations, listening systematically across the lifecycle helps universities retain students, raise completion rates, and continuously improve both academic delivery and the services that surround it.

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Why it matters

  • Course and instructor quality that varies widely across departments
  • Students who disengage or drop out without a clear early warning
  • Underused or hard-to-navigate academic and wellbeing support services
  • Pressure to evidence quality for accreditation and rankings
  • Weak insight into campus facilities, housing, and digital services
  • Alumni and graduate sentiment that influences reputation and funding

Recommended questions — Universities

1
How satisfied are you with the quality of teaching in this course?
csat
2
How well organized and clear were the course materials and assessments?
rating
3
How likely are you to recommend this program to a prospective student?
nps
4
How accessible and helpful were academic advising and support services?
rating
5
Which campus services have you used this semester?
checkbox
6
Do you feel the workload for this course was reasonable?
boolean
7
How would you rate the campus facilities and learning environment?
rating
8
What would most improve your experience in this program?
comment
9
How much do you agree: the company made it easy to handle my request?
rating
10
How easy was it to complete what you needed to do?
rating
11
How many steps did it take to resolve your issue?
radiogroup
12
Did you have to contact us more than once to get this resolved?
boolean
13
Where did you experience the most difficulty?
dropdown
14
What would have made this process easier for you?
comment
15
Overall, how would you rate the effort this took?
rating

Common use cases

  • An end-of-course evaluation for each module and instructor
  • A first-year orientation and onboarding experience survey
  • A student services and support satisfaction survey
  • A campus facilities, housing, and digital-services survey
  • A graduating-student or exit survey on the overall experience
  • An alumni survey on outcomes, career impact, and ongoing connection

What it is — Customer Effort Score (CES) Survey

A Customer Effort Score survey measures how much effort a customer had to expend to accomplish something, such as resolving an issue, completing a purchase, or finding information. Respondents typically rate their agreement with a statement like "The company made it easy for me to handle my issue" on a scale. The core insight behind CES is that reducing customer effort is one of the strongest predictors of loyalty and repeat business, often more so than delight. Low effort experiences keep customers; high effort ones quietly drive them away.

When to use it

Send a CES survey right after a customer completes a task that should be effortless: resolving a support issue, onboarding, using self-service, returning a product, or finishing a checkout. It is the ideal metric when your goal is to remove friction from a specific process. Use it to find the steps where customers struggle most and to validate whether a redesign actually made an interaction easier.

How it is measured

CES is usually based on a 5-point or 7-point agreement scale, from strongly disagree to strongly agree, on an ease statement. One common method reports the average score; another reports the percentage of respondents who agree or strongly agree (the easy responses). Higher agreement means lower effort, which is the desired outcome. Track the score by process step and over time, and pair low scores with the open-ended reasons to find exactly where friction lives.

Frequently asked questions

Students worry that critical feedback could affect their grades, so anonymity must be real and clearly stated. Collect evaluations through a neutral system, release results to instructors only after grades are finalized, and never expose individual identities. Avoid demographic questions granular enough to identify someone in a small class. Communicate clearly how feedback is used and protected. When students trust that their honesty carries no risk and genuinely shapes courses, response rates and candor both improve, giving departments far more reliable signal about which courses and teaching approaches are working and which need attention.
Yes. Many programs in KSA and the UAE blend Arabic and English instruction, and students vary in which language they express nuanced feedback most comfortably. Offering both, with correct right-to-left rendering for Arabic and natural academic phrasing, captures richer and more honest responses than a single-language form. International and graduate cohorts may need additional languages too. SurveyMaker lets you publish one multilingual evaluation from a single link and consolidate results, so a department analyzes course feedback as one dataset while every student answers in the language they think and learn in most easily.
Response rates rise with timing, brevity, and visible follow-through. Open evaluations in the final weeks but before exams, when the course is fresh and stress is lower, and send a couple of well-spaced reminders. Keep the form short and mobile-friendly, since most students respond on phones. Let instructors give class time to complete it, which dramatically boosts participation. Above all, show students that past feedback changed something, by sharing a brief you said, we did summary each year. When students see their evaluations matter, they treat the next one as worth their effort.
Accreditation bodies and ranking frameworks increasingly value documented, student-reported measures of quality. Useful evidence includes course evaluation results, overall satisfaction and likelihood-to-recommend scores, support-service ratings, and outcomes captured through graduate and alumni surveys. The key is consistency: use comparable instruments over time and across programs so you can show trends and improvement, not just a single snapshot. Tie each finding to an action and track whether it moved the metric. A well-run, longitudinal feedback program produces exactly the kind of structured, defensible evidence that accreditation reviews and reputation rankings reward.
On a 7-point ease scale, an average around 5 or higher is generally healthy, and on a percentage basis you want a large majority of customers choosing the easy end of the scale. As with other experience metrics, benchmarks vary by industry and by the exact statement you use, so your own trend matters most. Because the whole point of CES is reducing friction, the best target is continuous improvement: each redesign or process change should move more responses toward effortless over time.
Use CES when your goal is to make a specific process easier and to reduce friction, especially in support, self-service, onboarding, and checkout. CSAT tells you whether people were satisfied and NPS tells you whether they are loyal, but neither pinpoints effort as directly as CES. Research has shown effort to be a strong predictor of repeat business, so CES is particularly powerful for service and operations teams. Many companies use all three together, each answering a different question about the customer experience.
The modern CES question presents an ease statement and asks how strongly the customer agrees, for example: "The company made it easy for me to handle my issue," rated from strongly disagree to strongly agree. This agreement format is preferred over older phrasings that asked customers to rate effort directly, because it is clearer and less prone to confusion about whether high means good or bad. Keep the statement specific to the task you are evaluating, and use the same wording over time for comparable trends.
Start by reading the low-score comments to find the exact friction points, then map the steps customers take and remove or simplify the worst ones. Common wins include reducing the number of handoffs, anticipating the next question so customers do not have to ask again, improving self-service content, and pre-filling known information. After each change, re-measure CES on the same process to confirm the effort actually dropped. Treat CES as a loop: measure, fix the highest-effort step, then measure again.

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