airtape
A practical guide for UX researchers and product discovery teams: capture quotable audio, get clean transcripts, and keep the join flow simple for participants.
If you record user research interviews remotely the same way you record an internal stand-up, you will be fine for note-taking and disappointing for everything that comes after. The recording is not the deliverable in user research. The transcript, the clips you share with stakeholders, and the quotes that end up on affinity-mapping walls are the deliverables.
That changes the priorities. You care less about polished video than you do about clean, separate audio per participant, an accurate transcript, and a join flow that does not get in the way of recruiting hard-to-reach users. A recording lost to a flaky network is a participant you cannot easily ask again.
Most research teams reach for one of four options. Each has a place, but they are not interchangeable. Here is how the major patterns line up against the actual needs of remote user research.
| Approach | Strengths | Trade-offs for research |
|---|---|---|
| Generic meeting tools (Zoom, Meet, Teams) | Universally familiar, easy to schedule | Single mixed audio track, compressed quality, recording quality drops with internet drops |
| UX research suites (Maze, Userbit, others) | Built-in synthesis, tagging, repository | These are notebooks and synthesis tools, not recording engines — typically depend on importing from a meeting tool |
| Browser-based recording studios (Airtape) | Local recording per device, separate audio tracks, automatic transcription, no install for participants | Synthesis still happens in your repository tool or notes — the studio's job ends at clean files plus transcript |
| Specialist usability platforms | Strong for moderated usability tests with stimuli and prototype testing | Heavier setup, often more friction for generative discovery interviews |
In practice, many research teams pair a browser-based studio for the recording with a separate notebook or repository tool for synthesis. That separation keeps each tool doing what it is built for: clean capture on one side, structured sense-making on the other.
Participant preparation in research is heavier than in a podcast or a testimonial because consent and data handling are part of the job, not an afterthought.
There is a specific way to run a remote interview that maximises the number of quotable, transcribable moments without sacrificing the conversational quality of generative research.
After the session, the goal is to move from raw recording to tagged, quotable evidence as quickly as possible. Local recording plus a clean transcript collapses a workflow that used to take days.
Skim the auto-transcript for misheard product or domain terms. Five minutes of correction now saves an hour of confusion during synthesis.
Pull the strongest 8-15 quotes from the transcript with their timestamps. These will become your affinity-mapping units.
For each strong quote, clip a 10-30 second segment from the participant's audio track. Separate tracks make this trivial.
Whether that is Dovetail, Notion, a Miro board, or a notebook tool, the unit of work is now a quote plus a timestamp plus a clip — not a 45-minute video.
Once five to ten interviews are in the same shape, affinity mapping becomes about clustering the quotes, not rewatching the sessions.
Use a browser-based recording studio. The participant clicks a single link, grants microphone and camera permission, and joins directly in their browser — no account or download required.
Yes, in almost every case. Separate tracks for moderator and participant make it dramatically easier to extract clean participant quotes for stakeholder readouts without your own voice bleeding into the clip.
Recording with informed consent is generally permitted, but specifics depend on jurisdiction, participant type, and how the data is stored and shared. Confirm your approach with your privacy or legal team — this guide is not legal advice.
Those tools are designed primarily for synthesis, tagging, and repository management. Most research teams pair them with a dedicated recording studio that handles local capture, separate tracks, and transcription, then bring the resulting files into the research repository.
Very. In practice, the transcript becomes the working artefact for affinity mapping and synthesis. An accurate, timestamped transcript saves hours of rewatching and makes it much easier to surface and share specific participant quotes.