stayup

Voice interviews with your real users, inside your product

UserTold.ai interviews real users when they get stuck, keeping the quote, screen, and page path together as evidence you and your coding agent can review.

usertold.ai
Current rank#9
Current DR36
Boost$3.17
Recent clicks1.1 click momentum
Total clicks4 clicks

Domain Rating history

Daily Ahrefs observations for usertold.ai.

Domain Rating badge

Updated daily. Copy the HTML to display the badge on your site.

Ahrefs Domain Rating by Stay Up for usertold.ai

About the project

What it does

UserTold.ai runs AI-powered voice interviews with real users at the moment they get stuck inside a product. Using GPT-Live-1, it records a voice debrief triggered in-session, capturing the user's quote, screen recording, and page navigation path together as linked evidence. Product teams and coding agents can then review these evidence cards—each with a confidence score and separate fields for what was said, observed, and inferred—before grouping them into draft findings and pushing those findings to Linear or GitHub.

Use cases

  • Diagnosing onboarding drop-off by observing where users hesitate during setup and asking them to explain their expectation at that exact moment
  • Identifying navigation confusion, such as users repeatedly returning to the wrong page when looking for billing settings
  • Understanding pricing page confusion by capturing how users interpret plans and charges before they decide
  • Connecting a feature request to the underlying task and workaround a user actually has
  • Letting a coding agent run an end-to-end study via MCP or CLI, collect real-user evidence as JSON, and propose fixes grounded in that evidence

Who it is for

  • Product teams who need to understand why users drop off rather than just where, based on in-product behavior
  • Developers and coding agents that want structured, machine-readable user research evidence linked to specific pages and moments
  • Early-stage SaaS founders who cannot get users to schedule separate research calls but want qualitative insight from existing users
  • UX researchers who want timestamped, source-attributed evidence rather than AI-generated summaries without receipts

Alternatives and comparison

No named competing products are identified on the page. UserTold positions itself against three general patterns: session replay tools that show behavior without explanation, outreach-based interview scheduling that users ignore, and context-free feedback surveys. Its stated differentiation is combining voice debrief, screen recording, and page path into a single timestamped evidence card with explicit confidence scoring and separate fields for observation, quotation, and inference.

Session replay tools (e.g., general category)
Session replay tools show where users navigate but do not capture the user's spoken explanation of why they struggled; UserTold pairs the replay timestamp with a voice debrief from the same session.
Scheduled user interview platforms (general category)
Outreach-based interview scheduling depends on users accepting calendar invites, which the page describes as a common failure point; UserTold triggers the interview in-product at the moment of struggle without a separate booking step.
In-product survey tools (general category)
Text surveys collect feedback without screen or navigation context; UserTold attaches the quote to the exact page path and screen state, keeping context intact.

More in Developer Tools