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Industry-Specific

University Exit Survey for Graduating & Departing Students

Captures why students are leaving — graduating, withdrawing, or transferring — and how satisfied they were with academics, advising, and support services. An AI follow-up interview digs into the specific moment or decision behind their recommendation score, giving administrators concrete, story-level detail instead of just a satisfaction number.

Sample questions

A preview of what’s in the template. Every question is editable before you launch.

12 questions · ~7 min
Q01
Message

Thanks for taking a few minutes before you go. This helps us understand what worked and what didn't during your time here, so future students have a better experience. Your responses are completely confidential and anonymized. It should take about 6 minutes, and your answers will only be seen in aggregate reports.

Q02
Multiple ChoiceRequired

Which best describes your situation?

  • Graduating on schedule
  • Graduating later than originally planned
  • Withdrawing before completing my degree
  • Transferring to another institution
  • Taking a leave of absence
Q03
Opinion ScaleRequired

Overall, how satisfied are you with your academic experience here?

Scale: 17
Min:Very dissatisfiedMax:Very satisfied
Q04
Matrix

How satisfied were you with each of the following? (Template note: adjust these to match your institution's specific departments or services.)

5 rows × 5 columns
  • Academic advising
  • Career services
  • Financial aid support
  • Housing / residential life
  • Mental health and wellness services
Columns: Very dissatisfied · Dissatisfied · Neutral · Satisfied · Very satisfied
Q05
Best–Worst Trade-off (MaxDiff)Required

Thinking about your overall time here, which of these factors shaped your experience the most and the least?

  • Quality of instruction and coursework
  • Faculty availability and support
  • Sense of community and belonging
  • Cost and financial aid
  • Career preparation and internships
  • Clubs and extracurricular activities
  • Housing and campus facilities
  • Mental health and wellness support
Pick best & worst per setBest:Shaped my experience the mostWorst:Shaped my experience the least
Q06
Opinion ScaleRequired

How likely are you to recommend this university to a friend or family member considering enrolling?

Scale: 010
Min:Not at all likelyMax:Extremely likely
Q07
AI Interview

Probe the reasoning behind the respondent's recommendation score and their exit type. If they're withdrawing or transferring, reconstruct the specific turning point or decision that led there — what happened, when, and whether anyone at the university tried to help. If they're graduating, anchor on one moment (a class, person, or program) that most defined their experience, positively or negatively. If they gave a low or high recommendation score, ask what single thing would have most changed it.

Q08
Long Text

If you could change one thing about your experience here, what would it be?

Q09
Multiple Choice

What are your plans immediately after leaving the university?

  • Starting a full-time job
  • Starting a part-time job
  • Continuing to graduate or professional school
  • Still job/school searching
  • Taking time off before deciding next steps
Q10
Multiple Choice

Which college or school were you primarily enrolled in? (Replace with your institution's actual colleges/schools before launching.)

  • (College/School A)
  • (College/School B)
  • (College/School C)
  • (College/School D)
Q11
Multiple Choice

How many years were you enrolled at this university?

  • Less than 1 year
  • 1-2 years
  • 3-4 years
  • 5 or more years
  • Prefer not to say
Q12
Message

That's everything — thank you, and best of luck with what's next! Your responses will be combined with others to help the university improve advising, support services, and the overall student experience.

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 a satisfaction number: includes an AI follow-up interview that probes the reasoning behind the respondent's recommendation score and exit decision, surfacing story-level detail for administrators.
  • Covers the full exit picture in one flow — situation (graduating/withdrawing/transferring), academic satisfaction, a satisfaction matrix across advising/support services, a MaxDiff ranking of what shaped the experience, and post-departure plans.
  • Uses opinion-scale and long-text questions alongside the adaptive interview so teams get both trend-trackable metrics and open-ended context in a single response.
  • Ends with an automated report generation step, turning raw responses (including AI interview transcripts) into a structured summary without manual analysis.

QuestionPro

University exit survey template

A direct, purpose-built template for the same use case — capturing why students are leaving a university and their satisfaction with academics and services. It's a static question set (ratings, multiple choice) rather than an adaptive interview, so it's ready to field but limited to what's pre-written. QuestionPro also offers broader survey platform features (logic, dashboards) not visible on this template page itself.

What it does well

  • Purpose-built for the university exit use case, not adapted from a generic exit interview template
  • Backed by an established survey platform with standard reporting and distribution tools
  • Likely includes pre-set rating and demographic questions relevant to higher-ed exit context

Where it falls short

  • Static question format — no adaptive AI follow-up to probe the reasoning behind a satisfaction or recommendation score
  • No voice AI interview or guided screen-share task option
  • No visible per-response quality scoring or transparent prompt methodology

Ready to launch?

Open this template in the editor. Every part is yours to change before the first respondent sees it.

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