How to Analyze User Research Interviews with Dovetail
Dovetail is a research repository: you upload interviews, surveys and notes, and it transcribes, tags and lets you search everything for evidence. The point is to stop losing findings in scattered docs and to quote real users in decisions.
It is for product and UX teams running continuous research, not for a one-off survey. If you do two interviews a year, a spreadsheet is cheaper.
How do you set up a project?
- Create a project and define your tags — the themes you expect, like “onboarding friction” or “pricing confusion”.
- Upload your source material: audio, video, transcripts or raw text.
- Let it transcribe, or paste existing transcripts.
- Tag highlights and build an insight from the patterns.
Define tags before uploading. Building the taxonomy as you go produces duplicates — “confusing onboarding” and “onboarding: confusing” as separate tags — and search then returns half your evidence.
How do AI tags compare to manual ones?
Dovetail’s AI will auto-suggest tags and summarize transcripts, and it is a decent first pass. It is also flat. It catches the literal topic — someone mentions “pricing” — but misses the stance, whether the user found it expensive, fair or irrelevant.
Careful human tagging still wins on the two things that matter: intent and contradiction. Use AI to tag the easy volume, then read the transcripts yourself for the negative signals. The most valuable finding in research is usually the one that surprises you, and that is exactly what auto-tagging smooths away.
Is Dovetail free?
There is a free plan for an individual or a very small team with limited storage and features, and paid tiers per seat that add more storage, advanced analysis and collaboration. Pricing scales with seats, so a ten-person product org on a paid plan is a real annual line item. Budget for the storage tier too if you keep hours of video.
What does the workflow actually save?
Time spent re-watching interviews. Instead of scrubbing a 45-minute recording to find the quote, you search a tag and jump to the timestamp. On a study with twenty interviews that is the difference between an afternoon and a week.
It also makes findings defensible. When someone argues for a feature, you can link the exact clip where a user asked for it. That is hard to do from memory.
Where does it fall short?
It does not do the thinking. Dovetail organizes evidence; turning evidence into a decision is still your job, and teams sometimes mistake a tidy repository for insight. A well-tagged project with no synthesis is just a nicer folder.
Quick Summary
- Dovetail is a research repository that transcribes, tags and searches user research.
- Define your tag taxonomy before uploading to avoid duplicate tags.
- AI tagging catches topics but misses user intent and contradictions.
- Free plan for individuals; paid tiers are per-seat with more storage.
- It organizes evidence — synthesis and decisions are still yours.
Pair it with Contextual AI if you want to query the interview corpus in natural language.
