Video feedback analysis with AI
Stop watching hours of footage. Every video answer is transcribed and gets a summary, keywords and the tone of the text, so you read before you watch.
No credit card required. 28-day free trial.
Trusted by forward-thinking teams
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 the tone of the text. In RecRam this happens to every video and voice answer automatically, and transcripts can be translated or turned into captions.
You collect video feedback but have no way to analyze 200 responses without watching every one.
- AI transcription in 110+ languages
- The tone of the text on every spoken answer, including mixed
- Transcripts you can translate and caption
- Summary and 3 to 5 keywords per response
How it works, step by step
RecRam AI automatically transcribes every video and adds a summary, keywords, and a label for the tone of the text to each video and voice response, so you can read each answer first and watch only the ones that matter. Your own tags let you filter and export them.
No credit card required. 28-day free trial.
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
Analyze
Step 2: AI processes every recording automatically
Each video is transcribed automatically. The AI writes a summary, extracts keywords and shows the tone of the text for every recording, so your team reads before it watches.
- Search transcripts for what you care about, such as pricing, competitor names, specific features or onboarding, and jump to the moment it is mentioned
- The tone label is read from the words of each spoken answer (positive, negative, neutral or mixed), so mixed answers show up instead of averaging out
Act
Step 3: Surface patterns and share insights
Filter by tag, search transcripts for specific words, and 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
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 · Rating
How would you rate your experience?
“How would you rate your experience with us, from one to five stars?”
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 · 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 · 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 · 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
Questions for this use case
ExampleWhat frustrated you most this week?
Show us how you do this task today.
What would make you recommend us to a colleague?
If you could change one thing, what would it be?
What you get back
Every video and voice answer arrives transcribed, with a one-line summary, 3 to 5 keywords and the tone of the text. This is one real response from the demo, as your team sees it.
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.
- Tone of the text
- 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.
AI reads the words. Your team makes the calls.
Every spoken answer is transcribed, summarized and given keywords and the tone of the text, and transcripts can be translated or turned into captions. The AI never scores, ranks or decides anything about the people who answer: your team reviews the responses and, if you like, scores them against a shared rubric.
The RecRam pieces behind it
Everything here is in the same subscription. Integrations send each response on to the tools your team already uses.
Products
- AI InsightsA transcript, summary and keywords on every spoken answer, with translation.
- TranscriptionTranscripts in 110+ languages, translation and SRT download.
- Video FormsThe form itself: a host asks each question on video, people answer by video, voice, screen or text.
Integrations
- Google SheetsAppend a row to a spreadsheet for every response, with the columns you choose.
- REST APIRead and manage forms, responses, contacts, media and webhooks from your own code.
- WebhooksPOST each response to your own URL as signed JSON, on submit, or once transcription and the AI summary are done.
More use cases for product and UX research
- User testing & bug reportsUsers show the problem on screen instead of describing it.
- Feature request collectionCustomers explain the feature they need and why, in their own words.
- Beta feedback loopsAsk beta users about each milestone while it is still fresh.
Rated 4.8 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!”
Video feedback analysis FAQ
Still have questions? Chat with our team
They won't type it.
But they'll show it.
Start collecting real feedback in video. See what your customers actually think and feel.
