About UserTold.ai
UserTold.ai connects product delivery to what users say and do. Many teams can already turn a clear issue into code quickly. The harder upstream problem is deciding which issue is worth solving and preserving enough evidence for another person or agent to verify that decision.
What we build
UserTold runs interviews inside a product. With a participant's consent, a study can combine conversation with product use, navigation, clicks, and page context. Completed interviews become source-linked Evidence: reviewable moments with quotes, observed behavior, context, confidence, and uncertainty kept distinct.
Related Evidence can support a draft Finding. A project-aware human or agent reviews its sources and synthesis; review does not create external work. Product triage decides whether a reviewed Finding becomes delivery work. After delivery, the Evidence stays connected to the result so later Evidence can prompt recurrence review instead of starting the research history over.
What we believe
Recording comes before interpretation. Evidence should remain inspectable independently of a summary. Uncertainty should be visible, and generated interpretation should never be presented as if a participant said it. Product automation should make failures and recovery paths understandable rather than hide them behind magic.
UserTold is for builders, founders, product-minded engineers, and teams already using coding agents. It is not a replacement for consent, product judgment, or project-aware review. It is the evidence those decisions start from.