Dovetail Alternatives (2026): 9 UX Research Tools

Research repositories only work if two things happen. Researchers put every study in, and people outside research go looking for answers there. Lose either habit and the repository turns into an archive that only its owner opens.

That's worth holding onto if you're leaving Dovetail, because the tools that replace it now do quite different jobs. Some are repositories, some run AI analysis on interviews, some recruit participants and some run the interviews for you. Below are nine of them, in no particular order, grouped by job after a section on getting your existing research across.

Exports, tags and the readers who never log in

Before you look at any new tool, ask your current one for a full export of your data: recordings, transcripts, highlights and the tag structure you've built. Then ask each vendor on your shortlist how they import that export. Tags are where most of the value sits, and they're the part most likely to arrive flattened or lost.

Next, think about readers. A product manager, a designer or a sales lead who wants to check what customers said won't add research, but they need to find it. Ask each vendor how those people get access, and whether a read-only seat is easy to hand out. If finding an answer means requesting a login, most colleagues simply won't bother.

Finally, be clear which job you're hiring for. A repository, a recruiting tool and an AI interviewer can all sit in the same shortlist, and each solves a different problem. Mixing them up is how teams end up with a tool that's good at something they didn't need.

Repositories for a searchable insight library

If the main job is a library of past research, start here. Condens combines a research repository with AI analysis and stresses that every insight links back to its evidence, which helps when someone asks where a finding came from. Aurelius focuses on analysing, searching and sharing research in one place. Reduct takes a different angle: it treats recordings as searchable transcripts you can highlight and edit, which suits teams whose research is mostly video and audio.

AI analysis and AI-run interviews

Looppanel is built around analysing qualitative research with AI, producing transcripts, notes and clips that land in a repository. Marvin centralises customer, brand and market research and can also run AI-moderated interviews. Outset goes furthest: it runs qualitative interviews with an AI moderator so you can collect interview-style answers at the scale of a survey.

These tools change the shape of the work. If AI runs or summarises the sessions, the researcher's job shifts towards writing good discussion guides and checking the synthesis, so read a few summaries against the raw recordings before you trust them. If you mainly need clean transcripts, my guide to AI transcription software covers that narrower job.

Recruiting participants and running surveys

Some teams leave a repository because their real bottleneck is finding people to talk to. User Interviews is a recruiting platform that works with your own audience or its own panel. Great Question bundles recruiting, studies and insight sharing into one research platform. Sprig sits on the survey side, with agents that design surveys, adapt them to each respondent and turn the results into reports.

For the wider field of research methods, my roundup of user research tools and my guide to usability testing tools cover the jobs this page doesn't.

Nine research platforms side by side

Tool	Job	Good for
Aurelius	Research repository	Analysing and sharing insights in one place
Condens	Research repository	A central repository with AI analysis on top
Great Question	All-in-one research	Recruiting, running studies and sharing insights
Looppanel	Analysis and repository	Transcripts, notes and clips from interviews
Marvin	Insights platform	Centralised research plus AI-moderated interviews
Outset	AI-moderated interviews	Running qualitative interviews at survey scale
Reduct	Transcript video	Searching and editing recorded conversations
Sprig	In-product surveys	AI agents that design and analyse surveys
User Interviews	Participant recruiting	Finding participants from your audience or a panel

Research tools from A to Z

One line on each, alphabetical.

Aurelius

Best for: Researchers wanting one place to analyse, search and share findings, from a vendor that pitches itself as a more powerful repository and insights platform.

Condens

Best for: Teams centralising customer research with AI analysis on top, where the vendor promises every insight is backed by evidence that colleagues and AI agents can act on.

Great Question

Best for: UX teams who'd rather recruit participants, run studies and turn insights into decisions on one all-in-one research platform.

Looppanel

Best for: Researchers analysing qualitative interviews with AI, with the vendor promising high-quality transcripts, automatic notes and shareable video clips kept in an insight repository.

Marvin

Best for: Insight teams gathering customer, brand and market research in one place, with AI-moderated interviews and what the vendor describes as cited insights for every team.

Outset

Best for: Teams that want qualitative interviews run by AI moderators, aiming, in the vendor's words, for interview depth at the speed and scale of a survey.

Reduct

Best for: Anyone who needs to search, highlight and edit recorded conversations through the transcript, which the vendor sums up as Ctrl+F for video.

Sprig

Best for: Enterprise teams running surveys where agents design the questions, adapt to each respondent, run the analysis and write findings up as reports.

User Interviews

Best for: Research leads who need participants, recruited from their own audience or from the vendor's panel of vetted consumers and professionals.

My advice for research leads choosing a new home

Pick the job before the tool. If your old repository wasn't searched, a new repository won't fix that on its own; the habit has to change too, and that usually means making reading easy for people who'll never add a study. If the bottleneck was recruiting or the time it takes to run sessions, a recruiting platform or an AI interviewer may help more than another library. And whatever you pick, keep your tags. They're the shared language that lets a designer find what a researcher learned two quarters ago.

Run an export test with your own recordings

Here's the test that settles most shortlists. Take one finished study, with its recordings, transcripts, highlights and tags, and ask two vendors to import a sample of it. Then hand each result to a colleague outside research and ask them a real question that study answered. The tool where they find the answer without messaging you is the one worth moving to.

Do you make UX research software? Tool makers can ask to be considered for a featured place on this list.

Want your tool on this list? Featured spots and reviews here are paid partnerships. Here's how to partner with me.

Frequently asked questions

What should I export before leaving my current research repository?

Everything you can: recordings, transcripts, highlights, notes and your tag structure. Tags matter most, because they're how past research gets found, and they're the part most likely to break on import.

Is a research repository the same as an AI interview tool?

No. A repository stores and organises research you've already done. An AI interview tool runs new sessions with an AI moderator. Some products do both, but they solve different problems, so decide which one you need first.

How do I get colleagues to use a research repository?

Make reading easy. Give people outside research simple access, share findings where they already work and point them to the repository when they ask a question. A repository that needs a request to open won't get searched.

Can AI analysis replace a researcher's synthesis?

It can speed it up, but check the output. Read a few AI summaries against the raw recordings before you rely on them, and keep a person responsible for the final insight.

Do I need a separate recruiting tool?

Only if finding participants is your bottleneck. If you already recruit from your own customers easily, a repository or analysis tool will matter more.

Are these research tools ranked?

No. They're listed in no particular order and grouped by the job they do, because the right one depends on where your research process gets stuck.