Q01
Message
All templates
University Student Satisfaction & Experience Survey
Tracks how satisfied students are with teaching, advising, facilities, and campus life, and pinpoints which improvements matter most using a best-worst trade-off exercise. An AI follow-up interview digs into the specific moment or experience behind each student's satisfaction score, surfacing detail closed questions miss.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
15 questions · ~8 min
Q02
Opinion ScaleRequired
Overall, how satisfied are you with your experience at this university so far?
Scale: 1 – 5
Min:Very dissatisfiedMax:Very satisfied
Q03
MatrixRequired
How would you rate each of the following aspects of university life?
6 rows × 5 columns
- Quality of teaching and instruction
- Academic advising and guidance
- Campus facilities (libraries, labs, study spaces)
- Career services and job placement support
- Mental health and wellness services
- +1 more
Columns: Very poor · Poor · Fair · Good · Excellent
Q04
Multiple ChoiceRequired
In the past semester, how often did you use academic support services (tutoring, writing center, advising drop-ins, etc.)?
- Never
- Once or twice
- About monthly
- Weekly or more
Q05
Rating ScaleRequired
How would you rate the course registration and scheduling process this past term?
Range: 1 – 5
Min:Very difficultMax:Very easy
Q06
Best–Worst Trade-off (MaxDiff)Required
Which of the following improvements would matter most to your experience? Pick the most and least important each round.
- More academic advising availability
- Better campus WiFi and technology
- Expanded mental health services
- More affordable dining options
- Improved career services and job placement support
- More study and social spaces on campus
- Better public transportation to campus
Pick best & worst per setBest:Most important to improveWorst:Least important to improve
Q07
Opinion ScaleRequired
How likely are you to recommend this university to a friend or prospective student?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q08
AI Interview
Probe the reasoning behind the respondent's overall satisfaction and recommendation scores. Ask them to walk through one specific recent experience (a class, an advising visit, a service interaction) that best explains their rating, and anchor on whichever aspect they rated lowest in the earlier ratings to understand what specifically went wrong or what would need to change. If they rated everything highly, ask what would make an already-good experience great.
Q09
Multiple ChoiceRequired
How likely are you to continue enrollment at this university next year?
- Definitely will continue
- Probably will continue
- Not sure yet
- Probably will transfer or leave
- Definitely will transfer or leave
Q10
Message
Almost done — just a few quick background questions to help us understand patterns across different student groups.
Q11
Multiple Choice
What year are you currently in?
- First year
- Second year
- Third year
- Fourth year or beyond
- Graduate student
- Prefer not to say
Q12
Multiple Choice
Which area best describes your field of study?
- Arts & Humanities
- Business
- Engineering & Technology
- Health Sciences
- Natural Sciences
- Social Sciences
- Other
- Prefer not to say
Q13
Multiple Choice
What is your enrollment status?
- Full-time
- Part-time
- Prefer not to say
Q14
Multiple Choice
What is your age range?
- 18-20
- 21-23
- 24-26
- 27 or older
- Prefer not to say
Q15
Message
Thank you for sharing your experience! Your responses will be combined with feedback from other students to identify what's working well and prioritize improvements for the coming year.
What’s included
AI follow-ups
Adaptive probes on open-ended answers that pull out detail a static form would miss.
Attention checks
Built-in safeguards against rushed answers and low-quality respondents.
AI-drafted copy
Wording, ordering, and branching written by the AI — tuned to your research goal.
Auto report
Themes, quotes, and a plain-English summary write themselves once responses come in.
How it compares
We reviewed the closest templates from other survey tools. Here’s what they do well — and where this template goes further.
Why this template
- Goes beyond satisfaction scores with an AI follow-up interview that probes the specific moment or experience behind each student's rating, surfacing detail closed questions miss
- Uses a best-worst (max-diff) trade-off exercise to identify which improvements actually matter most, rather than just asking respondents to rate everything highly
- Combines a satisfaction matrix, registration/scheduling rating, recommendation likelihood, and re-enrollment intent with academic and demographic segmentation for a full picture in one flow
- Every AI-driven question includes a transparent, viewable prompt, and results are compiled into an auto-generated report — no manual tallying required
SurveyMonkey
Student Satisfaction Survey TemplateA standard fielding-ready template covering common satisfaction topics like teaching, facilities, and services. Built on a long-established survey platform with strong analytics and distribution tools, but the question set is fixed and closed-ended. Good for benchmarking against norms, less suited to uncovering the 'why' behind scores.
What it does well
- Established, widely-used survey platform with mature distribution and panel options
- Ready-to-field template requiring no custom build
- Likely includes standard analytics/reporting dashboards
Where it falls short
- No adaptive AI follow-up questioning — respondents can't be probed further on individual answers
- No trade-off/prioritization exercise to rank which improvements matter most
- No published methodology or prompt transparency since it's a static form
SurveySparrow
University Student Satisfaction Survey TemplateA conversational-style survey template aimed at the same student satisfaction use case, positioned around 'insightful data' collection. It likely offers a chat-like UI and branching logic, but branching is rule-based rather than AI-generated dialogue. No mention of voice interviews or automated scoring of open responses.
What it does well
- Conversational/chat-style survey format that may feel more engaging than a plain form
- Ready-to-use template for quick deployment
- Likely supports basic skip logic for personalization
Where it falls short
- No true adaptive AI interview — follow-ups are pre-scripted rather than generated from the respondent's actual answer
- No voice AI interview option
- No transparent prompt library or automated per-response quality scoring
Jotform
Student Satisfaction Survey Form TemplateA form-builder template focused on collecting structured feedback with Jotform's drag-and-drop customization. It's a static form well-suited for quick deployment and easy editing, but it doesn't attempt to explore the reasoning behind responses or weigh improvement priorities against each other.
What it does well
- Highly customizable via drag-and-drop form builder
- Ready-to-field template with common satisfaction question types
- Integrates with Jotform's broader form ecosystem (payments, notifications, etc.)
Where it falls short
- No adaptive AI follow-up interviewing — purely static question set
- No best-worst/trade-off exercise to prioritize improvements
- No automated quality scoring of responses or auto-generated insight reports
QuestionPro
University high school student survey questions + sample questionnaire templateThis page reads more as a questionnaire guide/sample bank than a single ready-to-field template, offering a library of sample questions researchers can pick from. Useful as a reference for question wording across university and high school contexts, but it requires assembly rather than being deploy-ready out of the box.
What it does well
- Broad library of sample questions spanning multiple student-related topics
- Backed by a research-oriented platform with survey logic and analytics features
- Flexible starting point for building a custom questionnaire
Where it falls short
- Presented as a question bank/guide rather than a single deploy-ready survey template
- No adaptive AI or voice interview capability to dig into individual responses
- No trade-off exercise or automated per-response quality scoring described
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.