Hearsay is an AI agent that captures user signals from every channel, synthesizes cross-channel patterns, and ships prioritized product stories directly to your backlog. No interviews to schedule. No synthesis meetings. No blind spots.
Product teams run interviews. Support teams file tickets. Sales logs calls. Marketing watches social. None of it connects. You end up with fragments of truth scattered across a dozen tools, and a backlog built on gut feeling.
You talk to 10 users a quarter. Meanwhile, thousands leave breadcrumbs in support, reviews, and usage patterns you never see.
By the time insights reach the backlog, the market has moved. Research cycles that should take hours take sprints.
One angry user on Twitter, one support ticket, one interview quote. Is it a pattern or noise? Without cross-channel validation, you're guessing.
Connect your support tools, review platforms, analytics, CRM, and social channels. Hearsay monitors them all continuously, extracting user intent from every interaction.
AI identifies cross-channel themes, validates signals against each other, and separates real patterns from noise. One user complaint becomes evidence when it echoes across five channels.
Prioritized product stories appear in Linear or GitHub with evidence trails. Each recommendation links back to the raw signals that generated it. Your PM reviews, not researches.
Hearsay turns every user signal into a product decision. The research never stops. The backlog always reflects reality.