All use casesEducation & training

Course feedback on video, module by module

Ask learners for short video feedback after each module. Each video and voice answer is transcribed and summarized, so you see what confused them without watching it all.

Start free

No credit card required. 28-day free trial.

Trusted by forward-thinking teams

Bilisim Vadisi
Connivo
Cowealthy
Humon
Mobidictum
Novocycle
Saykal
Sigorta Hizli Teklif
Vaga
Bilisim Vadisi
Connivo
Cowealthy
Humon
Mobidictum
Novocycle
Saykal
Sigorta Hizli Teklif
Vaga
Definition

What is video course feedback?

Video course feedback asks learners a few questions at the end of each module and lets them answer by video, voice or text. Instead of a star rating, you hear what made sense and where they got lost. Each spoken answer is transcribed and summarized with a sentiment label, and a hidden field records which module it is about.

End-of-course evaluations are an afterthought. Students rush through 1 to 5 star ratings without genuine input.

  • Per-module forms capture fresh reactions
  • AI sentiment on every video and voice answer
  • Partial submissions save incomplete feedback
  • A summary and keywords on every spoken answer
How it works

How it works, step by step

Collect video feedback after each module. Students share genuine reactions, and AI summarizes every video and voice answer and extracts keywords, so you can read each answer before you watch it.

Start free

No credit card required. 28-day free trial.

  1. Setup

    Step 1: Create per-module feedback forms

    Create a short form for each course module. Ask 2 to 3 video questions: "What was the most useful thing you learned?" "What confused you?" "What would you change?"

    • Record a 30-second instructor intro video for each form: "Hi, I'm [Name]. This module covered X. I'd love your honest take: what worked, what confused you?" A personal ask makes learners more willing to respond
    • Ask 2 to 3 video questions max per form: "What was the most useful thing you learned?", "What confused you?", "What would you change?" (enough for rich data without overwhelming learners)
  2. Collect

    Step 2: Send after each module completes

    Share the form link at the end of each module via your LMS, email, or course platform. Students record while the content is still fresh: authentic reactions captured in the moment.

    • Link directly from inside your LMS: a button at the bottom of each module page, "Leave video feedback (2 min)", keeps learners in context and removes the barrier of switching platforms
    • QR code option for in-person training: display it on the slide after the last content slide, attendees scan and record while still in the room (highest possible freshness)
  3. Improve

    Step 3: AI makes feedback easy to scan

    AI summarizes each video and voice answer and labels its sentiment. Tag responses by module and filter: if Module 5 answers keep turning negative and students say the pace was too fast, you know exactly what to fix.

    • Pass the module name in a hidden field, then filter and export by module to see where sentiment turns negative and where quality breaks down
    • Read the transcript for the specific comment: "The section on tax calculations was confusing because you skipped step 3" gives you an exact fix, not just a low score
Questions

What to ask

These are the real questions of "Course feedback", a ready-made video template written for this job. Tom asks each one on video, and the form branches on the answers shown. Try it live, then start from a copy and change anything.

In the template: Course feedback

  1. 1 · Rating

    How would you rate the course overall?

    “Overall, how would you rate the course?”

  2. 2 · Multiple choice

    How was the pace?

    “How did the pace feel to you?”

    Too fast · Just right · Too slow

    • If “Just right” What will you use first at work?
    • Any other answer Which parts should we change?
  3. 3 · Video, voice or text answer

    What will you use first at work?

    “What's the one thing you learned that you'll use first at work?”

  4. 4 · Score from 0 to 10

    How likely are you to recommend this course to a colleague?

  5. 5 · Long text

    What topics would you like in a follow-up course?

    “What would you love to learn in a follow up course?”

  6. 6 · Video, voice or text answer

    Which parts should we change?

    “Thanks for telling me. Which parts should I spend more or less time on?”

See the template page

Hosted by Tom · Training academy

Course feedback

Answer it the way your respondents will, on your phone or computer. Nothing you record is saved.

AI analysis

What you get back

Every video and voice answer arrives transcribed, with a one-line summary, 3 to 5 keywords and a sentiment label. The template above is new and has no answers yet, so this is a sample response from a different demo form, "Graduate program inquiry", as your team sees it.

0:08

Transcript · Why this program?

“I've been volunteering at a local clinic, and I just saw how policy impacts care. I want to be on the preventative side.”

Chloe Bennett · voice answer

AI summary
Recent grad inspired by clinic volunteering to pursue preventative health policy.
Sentiment
Positive
Keywords
Policy, Volunteering
Also answered
Which area interests you? Public Health
How would you like to study? Full-time on campus
What's your current situation? Finishing my bachelor's

Follow-up in Room

  • Priya ShahHi Chloe, your volunteer experience is exactly what we look for! Have you checked our scholarship options?
  • ChloeNot yet, where can I find them?

Room messages are a conversation, not analysed by AI.

Sample from the "Graduate program inquiry" demo form, not from this page's template. The respondent and team are fictional; every new RecRam account starts with these sample answers.

Want every answer checked against your own criteria?

Turn on AI Analysis for the form and each answer is also asked your own question: yes or no, a score, a category from your list, sentiment, keywords or a short text. Rules tag or flag the answers that match and email the people you choose.

How AI Analysis works
Reviews on G2

Rated 4.6 out of 5 on G2

From HR, product and marketing teams who collect their answers on video.

Read all reviews on G2
“RecRam has solved my 'How do I leave a video testimonial?' problem. Rather than giving clients a confusing process, I now share a RecRam link... Easy as 1-2-3!”
Aaron D.Founder and Owner, Small-Business · G2 review

Course & training feedback FAQ

Ask at the end of each module, not only at the end of the course. Two or three open questions plus a rating is enough, and a low rating can branch to a follow-up question.

Still have questions? Chat with our team

Ready to transform feedback?

They won't type it.
But they'll show it.

Start collecting real feedback in video. See what your customers actually think and feel.

4.6 on G2Free for 28 days · No credit card · Cancel anytime