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Video feedback analysis with AI

Stop watching hours of footage. Every video answer is transcribed and gets a summary, keywords and a sentiment label, so you read before you watch.

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AI summary · negativeCustomer received a damaged moisturizer due to a cracked lid.Keywords: damaged, packaging, leak

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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 AI video feedback analysis?

AI video feedback analysis turns each recorded answer into text you can scan: a transcript, a one-line summary, 3 to 5 keywords and a sentiment label. In RecRam this happens to every video and voice answer automatically. Optional AI Analysis asks each answer your own question, such as a category or a score, and rules tag or flag the results.

You collect video feedback but have no way to analyze 200 responses without watching every one.

  • AI transcription in 110+ languages
  • A sentiment label on every spoken answer, including mixed
  • AI Analysis: categorize every answer by topic
  • Summary and 3 to 5 keywords per response
How it works

How it works, step by step

RecRam AI automatically transcribes every video and adds a summary, keywords, and a sentiment label to each video and voice response, so you can read each answer first and watch only the ones that matter. Tags and AI Analysis categories let you filter and export them.

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No credit card required. 28-day free trial.

  1. Collect

    Step 1: Gather video feedback at scale

    Send a RecRam video form to your users, customers, or research panel. They record answers to open-ended questions in 1 to 3 minutes each. Works on mobile, desktop, no download needed.

    • Segment your ask: send separate forms to power users, occasional users, and churned users. The same question yields vastly different insights across cohorts. Segmented data is immediately actionable where aggregate data is vague
    • Open-ended video questions reveal what closed-ended surveys hide: "What frustrated you most this week?" uncovers specific bugs, missing features, and UX problems that a 5-point scale never surfaces
  2. Analyze

    Step 2: AI processes every recording automatically

    Each video is transcribed automatically. The AI writes a summary, runs sentiment analysis, and extracts keywords for every recording, with no manual review required.

    • AI Analysis lets you specify exactly what to look for: "Score each response for mentions of pricing/value, competitor alternatives, specific features, and onboarding difficulty" (custom analysis criteria, not generic sentiment categories)
    • Sentiment goes beyond a 1 to 5 scale: every spoken answer gets a label (positive, negative, neutral or mixed), so mixed feelings show up instead of averaging out
  3. Act

    Step 3: Surface patterns and share insights

    Let AI Analysis rules flag negative sentiment to find your most frustrated users. Filter by tag or AI Analysis category. Export AI summaries as CSV for your product team. You only watch the footage that matters.

    • Tag the segments you need and export them for product decisions: responses about navigation → CSV for the UX team; churned users mentioning pricing → CSV for the growth team. Data goes where it's needed without a research bottleneck
    • Share the actual clips: a few customers describing the same pain point in their own words is more persuasive to leadership than bullet points in a deck. Use tags to collect them in minutes
Questions

What to ask

The questions below come from "How was your order?", a ready-made demo form every new account gets. Answer it yourself to see the respondent side, then make it yours.

In the demo: How was your order?

  1. 1 · Rating

    How would you rate your experience?

    “How would you rate your experience with us, from one to five stars?”

  2. 2 · Multiple choice

    Did your products arrive in perfect condition?

    “Did everything arrive in perfect condition?”

    Yes, all perfect · Something was wrong

    • If “Yes, all perfect” Would you record a short review?
    • If “Something was wrong” What went wrong?
  3. 3 · Video, voice or text answer

    What went wrong?

    “Oh no, I'm so sorry. Tell me what happened, and we'll make it right.”

  4. 4 · Video, voice or text answer

    Would you record a short review?

    “That makes my day! Would you record a quick review of your favorite product?”

  5. 5 · Multiple choice

    Can we share your review on our website?

    “Can we share your review on our website and social media?”

    Yes, share it · Keep it private

See every step and sample answer

Questions for this use case

Example
  1. What frustrated you most this week?

  2. Show us how you do this task today.

  3. What would make you recommend us to a colleague?

  4. If you could change one thing, what would it be?

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. This is one real response from the demo, as your team sees it.

0:07

Transcript · What went wrong?

“The box was left out in the rain by the courier and the cardboard completely dissolved. Products are okay though.”

Samir Patel · voice answer

AI summary
Package was left in the rain and damaged, but the actual products survived.
Sentiment
Neutral
Keywords
delivery, courier, weather
Also answered
How would you rate your experience? 3 of 5
Did your products arrive in perfect condition? Something was wrong
Team comments
Daniel Kim We need to talk to the courier about their weather protocols.

Fictional sample respondent and team from the "How was your order?" demo form. 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

Video feedback analysis FAQ

Every video and voice answer is transcribed, then gets a one-line summary, 3 to 5 keywords and a sentiment label (positive, negative, neutral or mixed). You read the summaries first and watch only the answers that need it.

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