Dovetail is a repository you fill and search by hand. The decision is the one part you still do yourself.
ClosedLoop AI reads every customer conversation you already have, calls, tickets, surveys and chats, connects them to the deals and renewals in your CRM, and answers what to build, ranked by the revenue at stake and traced to the customers who asked.
Dovetail is a research repository: someone watches the call, clips the moment, tags it and files it so the team can search it later. You clip, you tag, you file, and when the roadmap is due you assemble the answer yourself.
No credit card · SOC 2 Type II · ISO 27001:2022
- Watch the recording.
- Clip the highlight, tag it.
- File it under the right theme.
- The call syncs itself.
- The insight extracts and categorizes itself.
- Matched with 13 customers saying the same.
Same customer, same words. One tool filed them. The other priced them.
Where the repository fails you.
What stays broken no matter how well the archive is kept.
The archive is a job you staff.
A full archive next to a blank roadmap.
The deal died with the answer in the library.
It answers the questions you planned to ask.
Built for researchers. Reaching for your roadmap.
Ask what to build. The answer comes back priced.
No repository to dig through. You ask, and this comes back.
Every line shows the accounts up for renewal, the conversations behind it and the revenue at stake.
The honest bit: if your team's job is running research studies, playing recordings and clipping highlights into a shared library, that is Dovetail. We do not build a research repository.
There's nothing to migrate.
ClosedLoop AI reads your calls, tickets and surveys at the source, so your Dovetail repository holds nothing we need and there is nothing to export. Connect your sources and switch off the archive.
Questions product teams ask.
We tagged everything. Now what?
An organized archive tells you what was said, not what to build. ClosedLoop AI categorizes every insight automatically and hands you the build list, ranked by the revenue at stake and traced to the customers who raised it.
How do I decide what's actually worth building?
By what it's worth, not by what got tagged most. Every insight carries the revenue behind it: the renewals it threatens, the deals it stalls. A quiet problem sitting on your three biggest accounts outranks a loud one from free plans. The roadmap argument ends when there's a dollar figure on every line.
Do I need a research team to run this?
No. ClosedLoop AI reads, extracts and prices everything itself, so one product manager gets the answer a research department would spend a quarter assembling.
How do insights reach the whole company, not just product?
Everyone reads the same answers: product, engineering, sales, success, marketing and leadership. Sales walks into a renewal knowing what's at stake, leadership sees the dollar figure. It also answers inside AI tools like Claude and ChatGPT through MCP, so anyone can ask it directly.
Is ClosedLoop AI just another research repository?
No. There's nothing to file, nothing to structure, nothing to maintain. You ask what to build and it answers with the revenue at stake and the customers by name.
Do we have to leave Dovetail?
That's the point of switching. ClosedLoop AI reads the same calls, tickets and surveys straight from the source, so there is nothing to export and no archive left to run. You aren't migrating a repository; you're retiring the job of keeping one.
The other tools on your shortlist.
Put down the highlighter.
Connect your calls and tickets. The insights extract themselves, priced, ranked and traced to the customers who said them.
No credit card. Your first ranked insights in minutes.