Q01
Message
All templatesEducation & Academic
Academic Advising Session Satisfaction Survey
Measures student satisfaction, perceived quality, and outcomes after academic advising sessions. Designed for institutional advising offices seeking actionable feedback to improve service delivery.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
21 questions · ~10 min
Q02
Multiple Choice
When was your most recent academic advising interaction?
- Within the last 2 weeks
- 2–4 weeks ago
- 1–3 months ago
- 3–6 months ago
- More than 6 months ago
- I have not met with an academic advisor
Q03
Dropdown
How many advising sessions have you had this academic term?
- 1
- 2
- 3
- 4
- 5 or more
Q04
Opinion Scale
How clearly did your advisor explain your academic options and next steps?
Scale: 1 – 7
Min:Not at all clearlyMax:Extremely clearly
Q05
Multiple Choice
Which of the following outcomes did you leave your advising interaction with? Select all that apply.
- A plan for next term's courses
- An updated degree audit or plan
- Referrals to campus resources
- Financial aid or policy guidance
- Steps for academic improvement
- Career or internship advice
- None of the above
Q06
AI Interview
We'd like to understand your advising experience in more depth. An AI moderator will ask you a couple of follow-up questions about what worked well and what could be improved.
Q07
Multiple Choice
What is your current student status?
- Undergraduate—first year
- Undergraduate—second year
- Undergraduate—third year
- Undergraduate—fourth year or more
- Graduate—master's
- Graduate—doctoral
- Professional/other graduate
- Non-degree/continuing education
- Prefer not to say
Q08
Message
Thank you for completing this survey! Your feedback is valuable and will be used to improve academic advising services at your institution.
Q09
Multiple Choice
How did your most recent advising interaction take place?
- In person
- Video call
- Phone
- Email or chat
- Group workshop
Q10
Opinion Scale
How knowledgeable was your advisor about your degree requirements and academic policies?
Scale: 1 – 7
Min:Not at all knowledgeableMax:Extremely knowledgeable
Q11
Long Text
Based on your responses in this survey, please share any additional thoughts or suggestions about your academic advising experience.
Q12
Dropdown
Which best describes your primary field of study?
- Arts and humanities
- Business
- Education
- Engineering
- Health professions
- Natural sciences
- Social sciences
- Computer and information sciences
- Law or public policy
- Undeclared
- Other (please specify)
Q13
Dropdown
How long did you wait between booking and your advising session?
- Less than 1 day
- 1–3 days
- 4–7 days
- 8–14 days
- More than 2 weeks
- I did not need to book (walk-in)
Q14
Opinion Scale
How well did your advisor listen to and address your individual concerns?
Scale: 1 – 7
Min:Not at all wellMax:Extremely well
Q15
Multiple Choice
What is your enrollment status this term?
- Full-time
- Part-time
- Prefer not to say
Q16
Opinion Scale
Overall, how satisfied are you with your most recent advising experience?
Scale: 1 – 7
Min:Not at all satisfiedMax:Extremely satisfied
Q17
Multiple Choice
What is your age range?
- Under 18
- 18–20
- 21–24
- 25–34
- 35–44
- 45 or older
- Prefer not to say
Q18
Opinion Scale
How likely are you to recommend your advisor to another student?
Scale: 1 – 7
Min:Not at all likelyMax:Extremely likely
Q19
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer to self-describe
- Prefer not to say
Q20
Dropdown
Where is your institution located?
- Africa
- Asia
- Europe
- Latin America & Caribbean
- Middle East
- North America
- Oceania
- Prefer not to say
Q21
Multiple Choice
Are you a first-generation college student? (Neither parent/guardian has a bachelor's degree.)
- Yes
- No
- Prefer not to say
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 five distinct opinion-scale ratings (clarity of options explained, advisor knowledge of degree requirements, listening/responsiveness, overall satisfaction, and likelihood to recommend) for granular, benchmarkable service-quality data rather than a single satisfaction score.
- Includes an AI follow-up interview that can probe deeper into a student's advising experience in their own words, going beyond a static open-text box.
- Captures session logistics and context (mode of interaction, wait time between booking and session, sessions taken this term, outcomes achieved) alongside demographic and equity-relevant fields like first-generation status and field of study, enabling segmentation advising offices actually need.
- Pairs an open-text reflection question with automated, transparent-prompt AI reporting so advising offices get a synthesized summary instead of raw unstructured comments to read manually.
Jotform
Academic Advising Form TemplateThis is a fielding-ready, customizable form template built for capturing academic advising information via Jotform's drag-and-drop builder. It's the most directly comparable of the reviewed pages since it targets the same academic advising context, though it appears structured more as a general intake/feedback form than a dedicated satisfaction-and-outcomes research instrument. No AI-driven follow-up or automated response scoring is indicated.
What it does well
- Purpose-built for the academic advising use case, unlike generic service-satisfaction templates
- No-code drag-and-drop customization typical of Jotform's builder, easy to adapt field labels and layout
- Backed by Jotform's broad template library and integrations ecosystem
Where it falls short
- No adaptive AI follow-up interview or voice AI interview option — questions are static and identical for every respondent
- No automated per-response quality scoring of open-ended answers
- No indication of transparent, publishable AI prompt methodology since the product is a form builder, not an AI-interview platform
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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