Voice interviews with your real users, inside your product
Records voice interviews with users inside your product to identify friction points and usability issues.
485 installs/mo
Established
- For
- product teams who want to learn why their users get stuck, inside their product
- Price
- From $0.15 per usepricing page, read 2026-10-12 ↗
- Activity
- Actively maintainedrelease 5 weeks ago · site updated 2 weeks ago
- Company
- Domain since 2026domain registered
- Runs as
- APICLI
- interview users by voice right after they hit a snag
- link interview quotes and screen replays to draft findings
- send reviewed findings to Linear or GitHub for triage
- Domain since2026domain registered
- HeadquartersAlicante, ESper their site
- Trains on your dataNoprivacy policy ↗
- Certifications they stateGDPRprivacy policy ↗
- Privacy policy updated2026-09-28privacy policy ↗
- Security contactsecurity.txt
“We do not use Customer Data to train general-purpose AI models.”
privacy policy ↗
These are Voice interviews with your real users, inside your product's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
- MCP serverai.usertold/usertold-mcpverified in the MCP registry
- Stateanswers, requires sign-inchecked 2026-10-12
- Address to connectmcp.usertold.ai/mcp
- OpenAPI spec158 pathsthe spec ↗
- MCP docsusertold.ai/for-agentsthe vendor's page ↗
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
Figure and bar: visits/mo, estimate · year: online since
- #1
HappyScribe
Transcribes audio and video files and live calls into text in 150 languages, with speaker names, subtitles and summaries.
2.7Mnot readFrom $17/mo2017 - #2
ElevenLabsMCP · sign-in
Generates synthetic speech, creates videos and music, and deploys conversational voice agents across 70 languages.
1.4MActiveFrom $6/mo2022 - #3
Goodcall
Deploys AI phone agents to answer and automate customer service and sales calls.
1.1MActiveFrom $79/user/mo2017 - #4
Dialaxy
Cloud phone system with call routing, voicemail, SMS, and CRM integration for contact centers.
953kActiveFrom $15/mo - #5
Frontdesk AI
Answers calls, texts, and chats with AI agents that qualify leads, book appointments, and update CRM records.
337kActiveFrom $99/mo2023 - #6
Fish Audio
Generates expressive speech from text with voice cloning and emotional control.
224kActiveFrom $11/mo
What is Voice interviews with your real users, inside your product?
Records voice interviews with users inside your product to identify friction points and usability issues. It is listed in the Atlas under Voice.
Who is Voice interviews with your real users, inside your product for?
product teams who want to learn why their users get stuck, inside their product
How much does Voice interviews with your real users, inside your product cost?
Paid plans start at $0.15 per use, per Voice interviews with your real users, inside your product's pricing page on 2026-10-12.
Is Voice interviews with your real users, inside your product free?
No. Its pricing page showed no free plan on 2026-10-12.
Do people use Voice interviews with your real users, inside your product?
Established: 485 installs/mo (npm).
Is Voice interviews with your real users, inside your product still maintained?
Actively maintained: release 5 weeks ago · site updated 2 weeks ago.
Does Voice interviews with your real users, inside your product train AI on your data?
No, per its privacy policy (2026-10-12): “We do not use Customer Data to train general-purpose AI models.”
Is Voice interviews with your real users, inside your product safe?
We do not audit vendors. What Voice interviews with your real users, inside your product publishes, read 2026-10-12: GDPR stated on its privacy policy; on training with your data, “We do not use Customer Data to train general-purpose AI models.”.
Not quite it? Describe the job
betaFive tools from the Atlas that fit it, each judged against what you wrote.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.