Q01
Message
All templates
Course Communication & Support Effectiveness Survey
Measures student perceptions of messaging timeliness, channel preference, and support quality in online or fintech cohort programs to identify actionable communication improvements.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
21 questions · ~10 min
Q02
Multiple Choice
During this course, which one channel did you use most often for course updates?
- LMS announcements
- Slack/Discord
- WhatsApp/Telegram
- In-app notifications
- Other (please specify)
Q03
Multiple Choice
Which support resources did you use during this course? Select all that apply.
- Live Q&A sessions
- Instructor office hours
- Discussion forum
- 1:1 mentor/support
- Support ticket/help desk
- Peer study groups
- Course FAQ/Docs
- Other (please specify)
- None of the above
Q04
Opinion Scale
Overall, the course communication and support met my needs.
Scale: 1 – 7
Min:Strongly disagreeMax:Strongly agree
Q05
AI Interview
Thinking about your experience with communication and support during this course, what worked especially well for you, and what would you most want to see improved?
Q06
Dropdown
What is your age group?
- 18–24
- 25–34
- 35–44
- 45–54
- 55+
- Prefer not to say
Q07
Message
Thank you for your time — your feedback helps us improve future cohorts!
Q08
Opinion Scale
Overall, how timely were course updates during this cohort?
Scale: 1 – 7
Min:Not at all timelyMax:Extremely timely
Q09
Dropdown
Approximately how many support requests did you submit during this course?
- 0 (none)
- 1–2
- 3–5
- 6–10
- More than 10
Q10
Opinion Scale
To what extent did the course's communication and support contribute to your learning experience?
Scale: 1 – 7
Min:Not at allMax:To a great extent
Q11
Long Text
Based on your responses in this survey, is there anything else you would like to share about course communication or support?
Q12
Multiple Choice
How do you describe your gender?
- Woman
- Man
- Non-binary
- Prefer not to say
Q13
Opinion Scale
How clear were the instructions in course announcements and messages?
Scale: 1 – 7
Min:Not at all clearMax:Extremely clear
Q14
Opinion Scale
How would you rate the speed of staff responses to your questions or requests during this course?
Scale: 1 – 7
Min:Very slowMax:Very fast
Q15
Opinion Scale
How likely are you to recommend this course to a peer, based on the communication and support experience?
Scale: 1 – 7
Min:Not at all likelyMax:Extremely likely
Q16
Dropdown
Where are you primarily based?
- Africa
- Asia
- Europe
- Latin America
- Middle East
- North America
- Oceania
- Prefer not to say
Q17
Ranking
Please rank your preferred channels for routine course updates (drag to reorder; top = most preferred).
- LMS announcements
- Slack/Discord
- SMS/Text
- In-app notifications
Drag to rank
Q18
Opinion Scale
Thinking about issues or problems you raised during this course, how often were they resolved to your satisfaction?
Scale: 1 – 7
Min:NeverMax:Always
Q19
Dropdown
What is the highest level of education you have completed?
- High school or equivalent
- Some college
- Bachelor's degree
- Master's degree
- Doctorate
- Professional certification
- Prefer not to say
Q20
Dropdown
What is your current employment status?
- Full-time
- Part-time
- Self-employed
- Student
- Not employed
- Prefer not to say
Q21
Dropdown
How many years have you worked in fintech, if any?
- No experience
- Less than 1 year
- 1–3 years
- 4–7 years
- 8+ years
- 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
- AI interviewer creates a non-judgmental conversational space that encourages honest disclosure on sensitive topics like safety fears and academic dishonesty
- Every AI prompt, model, and logic flow is fully transparent and logged—critical for IRB compliance and reproducible campus climate research
- Customizable AI personality lets researchers adjust tone for sensitive topics while maintaining methodological consistency across administrations
Jotform
Academic Integrity Form TemplateDesigned as a policy acknowledgment form rather than a climate survey—students sign to confirm they understand academic honesty expectations. Useful for compliance but does not assess the actual climate of integrity on campus.
What it does well
- E-signature collection via Jotform Sign for formal student acknowledgment
- Easy embedding within LMS or institutional websites with custom CSS
Where it falls short
- Not a survey at all—it's a compliance/acknowledgment form, not a climate assessment tool
- No questions exploring student attitudes, peer norms, or perceived institutional response to dishonesty
- No AI-powered interviewing to sensitively explore why students may or may not engage in academic dishonesty
Jotform
Academic Honesty Form TemplateAnother compliance-oriented form for students to acknowledge academic honesty policies. Keeps digital records of student acknowledgments but doesn't measure the climate of integrity or explore student attitudes.
What it does well
- Digital record-keeping with database storage for easy sorting and searching
- Helps schools maintain documentation that students understand policy repercussions
Where it falls short
- Compliance form, not a research instrument—cannot assess campus integrity climate
- No mechanism to explore peer norms, pressure to cheat, or perceived fairness of enforcement
- No AI follow-ups to sensitively probe attitudes toward academic dishonesty
Qualtrics
Student & Staff Experience Management for EducationComprehensive education experience platform trusted by 1,800+ institutions for climate surveys, safety assessments, and multi-channel feedback. Powerful but enterprise-priced and operates as a platform rather than offering specific ready-to-use campus safety or integrity templates publicly.
What it does well
- Enterprise-grade platform trusted by 1,800+ educational institutions with FedRAMP and ISO certifications
- Multi-channel data collection including surveys, social media, call centers, and online reviews
Where it falls short
- Enterprise pricing requires custom quotes—prohibitive for individual researchers or departments
- AI features lack the prompt-level transparency needed for IRB-compliant reproducible research
- No publicly available ready-to-use campus safety or academic integrity survey templates
SurveyMonkey
University Student Satisfaction Survey TemplateIncludes campus safety as one dimension within a broader student satisfaction framework. Not a dedicated safety or integrity climate instrument—safety is covered by a few items rather than explored in depth.
What it does well
- Covers campus safety alongside academic advising, student services, and registration in one instrument
- Benchmarkable questions developed in partnership with U.S. Department of Education
Where it falls short
- Campus safety is a minor component—not a dedicated safety assessment with emergency communication evaluation
- No dedicated academic integrity climate questions whatsoever
- No AI capability to follow up on reported safety concerns or explore unreported incidents
SurveySparrow
Student Engagement Survey TemplateGeneral student engagement template with conversational UI and multiple question types. Does not specifically address campus safety or academic integrity, though the platform supports building custom surveys on these topics.
What it does well
- Conversational survey interface with tap-friendly question types that boost response rates
- Recurring survey scheduling for longitudinal campus climate tracking
Where it falls short
- No campus safety or academic integrity-specific template available
- No AI-powered follow-ups to sensitively explore safety incidents or integrity violations
- No methodology guidance for handling sensitive topics like harassment reporting or cheating norms
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.