How to transcribe user research interviews and usability sessions
Short answer
Get written consent, record the session in Zoom, Meet or the browser, and upload it for a transcript with speakers separated and timestamps. Rename participants with codes like P07, pull quotes with timestamps, and export TXT to your research repository. Only the audio is analyzed, never the screen.
Synthesis is only as good as the evidence underneath it. When you work from memory or sticky notes, the most vivid session wins and the quiet pattern across eight interviews gets lost. Transcripts let you tag what people actually said and come back to it months later.
This guide covers recording customer interviews and usability sessions on Zoom or Google Meet, handling consent and personal information, and going from transcript to tagged quotes and themes.
From session to quotes in 3 steps
- 1
Record with consent
Send a consent form before the session, then confirm on the recording. Record in Zoom or Meet, or record an in-person session in your browser on a laptop or phone.
- 2
Upload the recording
Upload the mp4 or the audio-only file to Dolcenota. A few minutes later you get a transcript with each speaker separated and a timestamp on every line. Rename Speaker 1 to the moderator and Speaker 2 to a participant code like P07.
- 3
Tag, ask, export
Read the summary for the main points, ask questions like "Where did P07 get stuck during checkout?", and export TXT to import into your research repository or synthesis board.
Consent and personal information
- Use a written consent form that says what you record, who will see it, where it's stored and how long you'll keep it. Then ask again at the start so the yes is on tape.
- Zoom shows participants a recording notice, but say it out loud too.
- In Zoom's recording settings you can turn off "Display participants' names in the recording" so names don't appear in the video. It isn't retroactive.
- Use participant codes (P01, P02) instead of names when you rename speakers. Strip emails, phone numbers and company names from quotes you share.
- If a session might touch health information, note that Dolcenota is not HIPAA-compliant, so don't use it for protected health information.
Only the audio is analyzed
Dolcenota transcribes the audio track of a video. It never looks at the screen: no clicks, no heatmaps, no screen analysis. For a usability test, the transcript captures what the participant said while thinking aloud; pair it with your own observations of what they did. Ask participants to narrate ("I'm looking for the shipping cost"), because what they say is what ends up in the transcript.
From transcript to themes
The summary and the answers to your questions come from the transcript, but they aren't synthesis. Patterns, severity and recommendations are your call. Use the AI to find things, and your judgment to decide what they mean.
| Step | How |
|---|---|
| Pull quotes | Copy the line with its timestamp: [00:12:31] P07: "I didn't trust the total." |
| Tag | Add tags in your repository or spreadsheet: pricing, trust, navigation. |
| Check across sessions | Ask each transcript the same question and compare answers. |
| Return to the source | Open the recording at the timestamp before you quote it in a readout. |
Free and built-in options
Zoom, Meet and Teams include transcripts on some paid plans, and dedicated research platforms often transcribe inside their own tools. If you have those, use them. Dolcenota is useful when your plan doesn't include transcripts, when you also run in-person sessions, when interviews are in Spanish or switch between English and Spanish, or when you want a plain TXT or Word file you control.
Frequently asked questions
Can I upload a whole study at once?
Upload each session separately so each interview gets its own transcript. Combining files joins them into one transcript, which is useful only when a single session was recorded in parts.
Does it work with Spanish-speaking participants?
Yes. English and Spanish are detected automatically, and you can translate the summary into English with one tap.
Are my recordings used to train AI?
No. Recordings are processed on Amazon Web Services (AWS), stored encrypted and never used to train AI models. You can delete them anytime.
Which export works best for a research repository?
TXT imports cleanly into most tools. Word and PDF are better for sharing with stakeholders. Every line keeps the speaker and timestamp.
What does it cost?
You can start free with 60 minutes a month. Pro is $14.99 a month for 1,000 minutes, roughly sixteen hour-long sessions (as of October 2026).
Turn your next round of sessions into evidence
Upload a session and get a timestamped transcript with each speaker separated, ready for tagging. Free to start.
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