Unmoderated user interviews on video
Turn your discussion guide into a branching video form. Participants answer on their own time and every session is transcribed and summarized.
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What is an unmoderated user interview?
In RecRam, an unmoderated user interview is a branching video form that stands in for the moderator: a host video asks each question, and the next question depends on the participant's answer. Participants answer on camera, by voice, on screen or in text, on their own time. Every video and voice answer is transcribed and summarized. The branches are rules you write, not AI decisions.
Moderated user interviews give deep insights but get expensive fast once you add researcher time and scheduling.
- Branching logic adapts questions to each respondent
- AI transcribes and summarizes every session
- Screen recording + webcam in same form
- Export transcripts and AI summaries to CSV
How it works, step by step
Build a branching video interview in RecRam. Branching rules you write act as the moderator: follow-up questions appear based on each participant's answers. AI transcribes and summarizes every recorded answer automatically.
No credit card required. 28-day free trial.
Design
Step 1: Build the interview guide as a branching form
Translate your discussion guide into a RecRam video form. Opening question: "Walk me through how you currently handle [task]." Then ask which pain point fits them best, and conditional logic branches: if they pick pain point A, show follow-up A. If they pick pain point B, show follow-up B.
- Start with an open-ended walkthrough question before specific feature questions: "Walk me through how you currently handle [task]" reveals the real workflow, including steps you didn't know about, before you narrow into specific areas
- Map your branching logic on paper first: draw the decision tree for "if they pick pain point A → show question A2, if they pick pain point B → show question B2." RecRam's conditional logic maps directly to your discussion guide structure
Run
Step 2: Send to 20+ participants, collect async
Share the form link with your user panel. Participants complete it in their own environment, on their own time: no scheduling, no observer effect. Participants often answer more candidly than in a moderated session.
- Recruit from your own users first: "We're running a 15-minute research session this week. Would you record a quick video?" Your own users already know your product and tend to respond more readily than external research panels
- Async format removes observer effect: participants in moderated sessions often change behavior when watched. Async video interviews capture more natural responses, especially for topics like pricing and competitor usage
Synthesize
Step 3: AI makes 20 sessions quick to read
AI transcribes every session and adds a summary and keywords. Tag each answer by theme and count how many participants mentioned difficulty with X in minutes, not hours. Export for your product roadmap.
- Tag each answer with your own list, such as "Navigation confusion", "Onboarding unclear", or "Missing bulk export". Filter by tag and count participants per tag: your product priority list, in minutes, not a week of manual analysis
- Filter by tag, read the transcripts for the best quotes and copy them directly into your Confluence product spec as user voice evidence
What to ask
These are the real questions of "Customer discovery interview", a ready-made video template written for this job. Thiago 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: Customer discovery interview
1 · Dropdown
What kind of food business do you run?
“First, what kind of food business do you run?”
Restaurant · Cafe · Bakery · Food truck · Bar or pub · Catering company · Hotel kitchen
2 · Multiple choice
How many people work in your kitchen on a busy day?
Just me · Two to ten · Eleven to fifty · More than fifty
3 · Video, voice or text answer
How do you order supplies today?
“Walk me through how you order supplies in a normal week.”
4 · Rating
How painful is ordering supplies?
“From one to ten, how painful is ordering supplies for you?”
5 · Yes or no
Have you tried any tools to make it easier?
“Have you tried any apps or tools to make this easier?”
Yes · No
- If “Yes” Which tools, and what did you think?
- Any other answer Your ideal way to order
6 · Short text
Which tools, and what did you think?
“Which ones, and what did you like or hate about them?”
7 · Video, voice or text answer
Your ideal way to order
“If you had a magic wand, what would ordering look like?”
Hosted by Thiago · Restaurant supply startup
Customer discovery interview
Answer it the way your respondents will, on your phone or computer. Nothing you record is saved.
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. The template above is new and has no answers yet, so this is a sample response from a different demo form, "Why are you leaving?", as your team sees it.
Transcript · Anything else we should know?
“Add the integration, and honestly, I'd come back the same week.”
Hannah Weber · video answer
- AI summary
- Customer cancelled due to lack of Salesforce synchronization but is open to returning if it is added.
- Tone of the text
- Neutral
- Keywords
- salesforce, integration, winback-potential
- Also answered
- What's the main reason you cancelled? Missing a feature I need
- Can we reach out if we fix this? Yes, email me
- Team comments
Alex Morgan @Daniel can we prioritize the SFDC integration? This is the third churn this week because of it.
Follow-up in Room
- Alex MorganHi Hannah, we are launching our native Salesforce sync in two months! Can I add you to the early access list when it's ready?
- HannahYes, definitely. Keep me posted.
Room messages are a conversation, not analysed by AI.
Sample from the "Why are you leaving?" demo form, not from this page's template. The respondent and team are fictional; 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
- Video FormsThe form itself: a host asks each question on video, people answer by video, voice, screen or text.
- LogicBranch on a choice, a text answer or a rating, with a fallback path.
- AI InsightsA transcript, summary and keywords on every spoken answer, with translation.
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!”
Unmoderated user interviews FAQ
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They won't type it.
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