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UserTold
In-product AI voice interviews that capture why users get stuck, with quotes, screen recordings and findings for your backlog.
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Overview
About UserTold
UserTold.ai runs voice interviews with real users inside a product at the moment they struggle. It keeps each quote together with the screen recording and page path as evidence, groups related evidence into draft findings and hands reviewed findings to Linear or GitHub.
What it does
UserTold.ai triggers a live AI voice interview when a user appears stuck, using screen and navigation context to ask relevant questions. Each response is stored as evidence with its recording and page path, then clustered into draft findings with sources attached. Teams and their coding agents review findings and send them to Linear or GitHub. It is accessible through an MCP server, a CLI and a REST API and is billed per recorded minute, with a bring-your-own-key option.
Where it fits
It sits between product analytics and the issue tracker, adding qualitative user research directly inside the product without recruiting outside participants.
Who it suits
Product managers, UX researchers and developers at software companies who want faster qualitative insight from live users.
Screenshots
See it in action
Editorial view
Strengths and limitations
Written by our editors to the same standard for every product.
Strengths
- Interviews real users at the moment of friction
- Evidence includes quote, recording and page path
- Linear and GitHub handoff
- Usage-based billing with no seats
Limitations
- Requires an existing user base
- Depends on OpenAI models
- Early-stage product
Reviews
What users say
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Company
About UserTold
From the vendor
Provided by the vendor and reviewed by our editors; not independently verified.
- Company
- UserTold
- Website
- usertold.ai
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