Q01
Message
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Virtual Class & Remote Learning Feedback Survey
Captures how well a virtual class delivered on content clarity, technical quality, and engagement — for training teams and educators running live or recorded remote sessions. An AI follow-up interview digs into what actually happened during the session that a rating alone can't explain, like where attention dropped or which moment made the material click.
Sample questions
A preview of what’s in the template. Every question is editable before you launch.
12 questions · ~7 min
Q02
Multiple ChoiceRequired
How did you attend this class?
- Live, on camera
- Live, audio/camera off
- Watched a recording
- Joined live but missed parts, caught up on recording
Q03
Opinion ScaleRequired
Overall, how satisfied were you with this class?
Scale: 1 – 7
Min:Very dissatisfiedMax:Very satisfied
Q04
MatrixRequired
How much do you agree with each statement about this class?
5 rows × 5 columns
- The audio and video quality were reliable throughout
- The pace of the session matched my ability to follow along
- The materials or slides shared were clear and useful
- The instructor explained concepts clearly
- I had real opportunities to ask questions or participate
Columns: Strongly disagree · Disagree · Neutral · Agree · Strongly agree
Q05
Rating ScaleRequired
How would you rate the instructor's ability to keep remote attendees engaged?
Range: 1 – 5
Min:Not engaging at allMax:Extremely engaging
Q06
Multiple Choice
Which, if any, technical issues did you experience during this class?
- Audio cutting out or lagging
- Video freezing or poor quality
- Difficulty accessing the platform or link
- Screen sharing or slides not visible
- Chat or Q&A features not working
Q07
AI Interview
Reconstruct what actually happened for this respondent during the class rather than just their rating: ask them to walk through one specific moment that stood out, whether positive (something clicked) or negative (attention drifted, confusion, or a technical problem). If they mentioned any technical issues or disagreed with statements about pacing or participation opportunities, probe exactly when it happened and how it affected their ability to follow the session. If their satisfaction rating was low, ask what single change would have made the biggest difference.
Q08
Opinion ScaleRequired
How likely are you to recommend this class to a colleague or peer?
Scale: 0 – 10
Min:Not at all likelyMax:Extremely likely
Q09
Long Text
What is one thing we could change to make future virtual classes more valuable for you?
Q10
Multiple Choice
Which best describes your role in attending this class?
- Student
- Employee / workplace training
- Professional development / certification
- Prefer not to say
Q11
Dropdown
How much prior experience did you have with the topic before this class? (optional)
- None
- A little
- Moderate
- Extensive
- Prefer not to say
Q12
Message
That's everything — thank you for the detailed feedback! Your responses will be reviewed by the training team to improve delivery, materials, and platform reliability for future sessions.
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 score with an AI follow-up interview that reconstructs what actually happened in the session — where attention dropped, what made the material click — instead of leaving that context up to a single open-text box.
- Combines standard feedback metrics (satisfaction, likelihood to recommend, engagement rating, agreement matrix) with role and prior-experience segmentation, so training teams can see how different attendee types experienced the class.
- Directly captures technical delivery quality via a dedicated technical-issues question alongside content and engagement measures, giving a fuller picture of what broke down and why.
- Backed by transparent, auto-generated reporting and per-response quality scoring, so training teams get a synthesized readout rather than raw transcripts to sift through manually.
SurveySparrow
Virtual Class Feedback Form TemplateA ready-to-field static feedback template built specifically for virtual classes, covering the same general territory as our survey (satisfaction, engagement, content quality). It's a fixed questionnaire, so all respondents answer identical questions regardless of what actually happened in their session.
What it does well
- Purpose-built for virtual class feedback rather than a generic survey template
- Likely quick to deploy with SurveySparrow's form-building tools
Where it falls short
- No adaptive follow-up questioning — cannot probe further when a rating reveals a problem
- No mechanism to reconstruct session-specific moments (drop-off points, standout moments) beyond what open-text fields capture
- No published methodology on question logic or scoring
Typeform
Free Class Feedback Form TemplateA general class feedback template (not specific to virtual/remote delivery) offered free on Typeform's platform. Good for basic satisfaction capture with Typeform's conversational UI, but it's a static form rather than an interview-style survey.
What it does well
- Polished, conversational one-question-at-a-time interface
- Free to use and easy to customize for general class feedback
Where it falls short
- Not tailored to virtual/remote-specific issues like technical quality or attendance mode
- Fixed question flow with no adaptive AI probing into what happened during the session
- No automated quality scoring or structured report generation built for training teams
QuestionPro
Seminar feedback & attendee information survey questions + Sample questionnaire templateA broader seminar/event feedback template with attendee information questions; it's oriented toward seminars generally rather than remote/virtual class delivery specifically. Useful as a question-bank reference, but requires adaptation for virtual-class contexts like technical issues or engagement over video.
What it does well
- Covers attendee information alongside feedback, useful for segmentation
- Broad question library that can be adapted for various seminar formats
Where it falls short
- Not specifically designed for remote/virtual delivery nuances (technical issues, remote engagement)
- Static questionnaire format with no adaptive interview component to explain low scores
- No auto-generated report or per-response quality scoring described
Ready to launch?
Open this template in the editor. Every part is yours to change before the first respondent sees it.