AI-native product discovery. Upload customer interviews and usage data. Get back prioritized features with evidence, specs, and dev tasks ready for your coding agent.
Try It NowFeedback lives in one tool. Analytics in another. Research notes in a third. The PM synthesizes it all in their head. Then writes a PRD by hand. Then hopes the engineer interprets it correctly. Every step leaks signal.
Customer interviews, support tickets, usage analytics, survey responses, sales call transcripts. Voxspec connects to your existing stack and pulls it all in.
AI clusters themes, identifies unmet needs, and surfaces patterns humans miss. Not just "what users said" but what they meant, weighted by frequency and impact.
Prioritized feature recommendations with evidence trails. Each recommendation links back to the specific customer quotes, data points, and usage patterns that support it.
Feature specs formatted for Cursor, Claude Code, or your coding agent of choice. UI proposals, data model changes, workflow updates, and broken-down dev tasks. Ship the same day.
Productboard, Jira PD, and airfocus help you rank a backlog you already have. But the hardest part isn't prioritizing known ideas. It's finding the ideas worth building in the first place, buried in 200 customer interviews and 10,000 support tickets.
One system from raw customer data to dev-ready specs. No copy-pasting between tools.
Specs designed for AI coding agents, not slide decks. Features ship faster when the handoff is machine-readable.
Every recommendation traces back to real customer quotes and data. No gut feelings, no HiPPO decisions.
Coding agents changed how we build. Voxspec changes what we build. The teams that close this loop first will ship products their customers actually want.