Let AI agents run real user interviews
MCP server bridges the AI-to-user feedback gap, but interview platforms already exist.

Another AI research synthesizer when Dovetail and Condens already dominate this space.
Product teams, UX researchers
Dovetail · Condens · EnjoyHQ
MCP server bridges the AI-to-user feedback gap, but interview platforms already exist.
Claude for product managers, but LLM-powered synthesis of feedback is increasingly crowded.
It clusters cross-source feedback, ranks themes, and — crucially — links every recommendation back to the original quotes, which makes the output auditable instead of a mysterious LLM blob. You can chat with your dataset and export AI-generated specs and GitHub issues, which pushes discovery straight into execution; my main questions are accuracy on private corp data and how it prevents hallucinated recommendations.
Practice YC interviews with AI Garry Tan voice, but it's just a prompt wrapper.
Live feedback on rambling interviews, but Pramp and MockInterview exist.
MCP integration brings real voice interviews to agents stuck guessing user needs.