Online Course Feedback & Completion Survey
Captures how learners experienced an online course — content clarity, pacing, instructor delivery, and completion barriers — with an AI follow-up interview that digs into the specific moment a learner struggled, disengaged, or nearly dropped out. Built for course creators, instructional designers, and academic teams reviewing a cohort or module.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
How much of the course did you complete?
- All of it
- Most of it
- About half
- Less than half
- I dropped out early
Overall, how satisfied are you with this course?
How much do you agree with each statement about the course?
- The content was clear and easy to follow
- The pace matched what I could handle
- The instructor communicated concepts effectively
- What I learned applies to real tasks I do
- Assessments (quizzes/assignments) fairly tested what was taught
In the last few weeks of taking this course, what got in the way of finishing or engaging fully? Select all that apply.
- Not enough time
- Content was too difficult
- Content was too easy / not challenging enough
- Lost motivation or interest
- Technical issues with the platform
- Confusing instructions or navigation
How would you rate the quality of the videos, readings, or lecture materials?
How likely are you to recommend this course to a colleague or friend?
Reconstruct the specific moment in the course where the respondent's engagement rose or fell the most — anchor on their completion status and satisfaction rating. If they selected obstacles like losing motivation or difficulty, probe exactly which module or task triggered it and what would have kept them going. If they rated the course highly, probe what single piece of content or moment they'd point a friend to first. Get concrete detail, not general impressions.
For your next course, which format would you prefer?
- Self-paced, no deadlines
- Scheduled cohort with weekly deadlines
- Live sessions with an instructor
- Short bite-sized modules
- No preference
What's your age range?
- Under 18
- 18-24
- 25-34
- 35-44
- 45-54
- 55-64
- 65 or older
- Prefer not to say
What's the highest level of education you've completed?
- High school
- Some college
- Associate degree
- Bachelor's degree
- Graduate degree
- Prefer not to say
Which best describes your current employment status?
- Employed full-time
- Employed part-time
- Self-employed
- Student
- Unemployed
- Retired
- Prefer not to say
That's everything — thank you! Your responses will be reviewed alongside other learners' feedback to improve this course's content, pacing, and support before the next cohort starts.
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 reconstructs the specific moment a learner struggled, disengaged, or nearly dropped out — not just a static rating
- Combines quantitative measures (completion rate, satisfaction, material quality rating, likelihood to recommend, agreement matrix) with open-ended AI probing in one flow
- Captures completion barriers directly with a targeted multiple-choice question on what got in the way of finishing, then lets the AI interview dig deeper on that specific moment
- Collects demographic and format-preference context (age range, education level, employment status, preferred next course format) to segment cohort results, with automated reporting to summarize findings
SurveySparrow
Online Course Feedback ChatbotA conversational chatbot-style form for collecting course feedback, fielding-ready and easy to embed. It's built around a scripted chat flow rather than true adaptive interviewing — the conversational tone is UI styling, not dynamic follow-up logic. Good for general satisfaction capture but not for isolating a specific disengagement moment.
What it does well
- Conversational, chat-style UI likely improves completion rates over plain forms
- Ready-to-use template aimed specifically at course feedback
- Part of a broader survey platform with standard reporting
Where it falls short
- No adaptive AI follow-up — chat flow is scripted, not responsive to individual answers
- No mention of voice interview capability
- No published methodology for how responses are scored or synthesized
Jotform
Online Course Instructor Feedback Form TemplateA static form template focused on rating instructor performance, easy to customize via Jotform's form builder. It's a fielding-ready form but oriented toward instructor evaluation rather than learner completion barriers or engagement moments. No interview or follow-up mechanism is present.
What it does well
- Simple, customizable drag-and-drop form builder
- Widely used, well-established form platform with many integrations
- Fielding-ready template requiring minimal setup
Where it falls short
- Static question set with no adaptive follow-up on struggle points or drop-off moments
- No voice or AI interview option
- No automated per-response quality scoring or transparent prompt methodology
Typeform
Free Course Feedback Survey TemplateA polished, one-question-at-a-time survey template well-suited for general course feedback collection. It offers a pleasant respondent experience but is still a fixed question sequence rather than an adaptive interview that reconstructs specific moments of struggle. Reporting is standard dashboard analytics, not narrative synthesis.
What it does well
- Clean, one-at-a-time question flow known for higher completion rates
- Free template available, easy to launch quickly
- Established brand with broad integration ecosystem
Where it falls short
- No adaptive AI follow-up questioning to probe a specific disengagement moment
- No voice AI interview mode
- No transparent prompt-level methodology or automated qualitative reporting
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.