UserTold: AI User Research

UserTold runs AI-led voice interviews with your users inside your website, combining screen recordings, navigation context, and conversation in the same session. Understand what people are trying to do, where they struggle, and what they expected to happen. For usability research, let participants try a task or continue their ordinary work. With consent, UserTold observes without interrupting or offering hints, then asks about specific moments while the experience is fresh. Their explanation stays connected to the screen recording and page activity that prompted the question. Screen recording is available on supported desktop browsers; mobile interviews capture voice and in-page events. Start in ChatGPT or Codex with a question such as "Why do trial users stop before creating their first report?" UserTold helps prepare the study goal, participant task, and interview questions. Review the draft before going live, then invite users through your website widget or share an interview link with customers you can already reach. Run usability tests, observe everyday workflows, or conduct customer discovery, switching, and concept interviews. Give the interviewer product context and research goals so it can ask relevant follow-up questions and explore concrete examples. Review transcripts, available recordings, and evidence linked to specific moments. Compare interviews to identify recurring problems while keeping participant statements, observed behavior, and AI interpretation distinct. Turn supporting evidence into product findings. Check the sources, review the finding, and choose whether to send it to GitHub or Linear with quotes and interview references attached. UserTold is for teams and coding agents that want to interview real users, capture their product experience, and make decisions with the original context close at hand. Participants come from your own users and customers. UserTold saves AI research-guidance requests and responses to improve the service. Avoid including personal data or secrets in those requests.