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University Faculty Satisfaction & Retention Survey

Measures how satisfied faculty are with compensation, workload, research support, governance, and career advancement, plus how many are seriously considering leaving. Built for provosts, deans, and faculty affairs offices; the AI follow-up interview digs into the specific reasons behind low scores or leaving intentions rather than just the numbers.

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Sample questions

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

13 questions · ~7 min
Q01
Message

Thanks for taking a few minutes to share your honest experience as faculty here. This helps leadership understand what's working and what isn't. It should take about 6-8 minutes, and your responses will be reviewed in aggregate.

Q02
MatrixRequired

How satisfied are you with each of the following aspects of your experience at this university?

8 rows × 5 columns
  • Compensation and benefits
  • Teaching workload
  • Research funding and support
  • Voice in departmental or university governance
  • Work-life balance
  • +3 more
Columns: Very dissatisfied · Dissatisfied · Neutral · Satisfied · Very satisfied
Q03
Opinion ScaleRequired

How likely are you to recommend this university as a place to work to a colleague in your field?

Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q04
Multiple ChoiceRequired

In the past 12 months, have you seriously considered leaving this university for another institution or a non-academic role?

  • No, haven't considered it
  • Yes, briefly considered it
  • Yes, actively looked at other opportunities
  • Yes, currently in the process of leaving
Q05
Rating ScaleRequired

How would you rate the support you receive from your department chair or immediate supervisor?

Range: 1 – 5
Min:Very poorMax:Excellent
Q06
Best–Worst Trade-off (MaxDiff)Required

Which of the following would most improve your satisfaction as faculty here, and which matters least right now?

  • Higher salary or better benefits
  • Reduced teaching load
  • More research funding and support
  • Greater voice in governance and decision-making
  • Better work-life balance
  • Clearer path to promotion or tenure
  • More administrative support
  • Stronger mentorship and professional development
  • Better facilities and resources
Pick best & worst per setBest:Most improves my satisfactionWorst:Matters least right now
Q07
Point AllocationRequired

Thinking about a typical work week, how do you actually divide your time across these responsibilities? (Should add up to 100)

  • Teaching and course prep
  • Research and scholarship
  • Service and committee work
  • Administrative tasks
  • Student mentoring and advising
Allocate 100 points
Q08
AI Interview

Explore the reasoning behind the respondent's likelihood-to-recommend score and their answer about considering leaving. If they scored low or indicated they're actively looking or leaving, probe the specific triggering incident or ongoing frustration (workload, compensation, governance, lack of support) and what would realistically need to change to keep them. If they scored high and aren't considering leaving, probe what specifically keeps them engaged so it can be reinforced or replicated elsewhere.

Q09
Multiple Choice

What is your current academic rank or title?

  • Adjunct or part-time instructor
  • Lecturer/Instructor (full-time, non-tenure-track)
  • Assistant Professor
  • Associate Professor
  • Full Professor
  • Other academic staff
  • Prefer not to say
Q10
Multiple Choice

What is your tenure status?

  • Tenured
  • Tenure-track, not yet tenured
  • Non-tenure-track or contract
  • Not applicable at my institution
  • Prefer not to say
Q11
Multiple Choice

How long have you been on faculty at this university?

  • Less than 1 year
  • 1-3 years
  • 4-7 years
  • 8-15 years
  • More than 15 years
  • Prefer not to say
Q12
Short Text

What department, school, or discipline are you primarily affiliated with? (Optional)

Q13
Message

Thank you for your candor. Your responses will be combined with other faculty feedback into a report for university leadership to inform decisions on workload, support, and retention.

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

  • Includes a dedicated AI follow-up interview that digs into the reasoning behind low likelihood-to-recommend scores and leaving intentions, not just the numeric ratings
  • Combines quantitative measures (matrix satisfaction ratings, opinion scale, rating, max-diff, constant-sum time allocation) with qualitative depth in one instrument
  • Captures context variables (rank, tenure status, years of service, department) so provosts and deans can segment retention risk by faculty subgroup
  • Opens and closes with plain-language chat messages that set expectations and thank participants, supporting honest, higher-quality responses

QuestionPro

University Faculty Satisfaction Survey | Sample Survey, Examples, Questions & Questionnaires

This is a sample question library and example page rather than an interactive fielding instrument with built-in follow-up logic. It's useful as a starting reference for question wording on faculty satisfaction topics, but the depth of insight depends entirely on the static questions asked. No indication of adaptive probing into why faculty gave a particular score.

What it does well

  • Broad library of sample faculty satisfaction questions and question types
  • Backed by an established, general-purpose survey platform with wide distribution options

Where it falls short

  • No adaptive AI follow-up interview to explore the reasons behind low scores or leaving intentions
  • No voice AI interview option
  • No published per-response quality scoring or transparent prompt methodology

SurveyMonkey

University Faculty Satisfaction Survey Questions

A static faculty satisfaction template built on SurveyMonkey's standard survey engine, aimed at quick deployment with familiar question types. It's a fielding-ready template, but it captures the 'what' of satisfaction scores rather than the 'why,' since there's no mechanism to probe individual responses further.

What it does well

  • Fielding-ready template on a widely used, easy-to-deploy survey platform
  • Likely includes standard analytics dashboards and benchmarking common to SurveyMonkey

Where it falls short

  • No adaptive AI interview to follow up on low satisfaction or retention-risk responses
  • No voice AI interview or guided screen-share task capability
  • No per-response quality scoring or transparent AI prompt disclosure

Jotform

Faculty Satisfaction Survey Form Template

A drag-and-drop form template on Jotform's form-builder platform, better suited to simple data collection than deep exploratory research. It's ready to field quickly and customize visually, but it functions as a static form rather than an interview, so nuance behind faculty responses isn't captured.

What it does well

  • Easy-to-customize, fielding-ready form builder interface
  • Integrates with Jotform's broader form and workflow ecosystem

Where it falls short

  • No adaptive AI follow-up interview or voice AI interview capability
  • No automated per-response quality scoring
  • No auto-generated analytical report synthesizing qualitative reasoning behind scores

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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