A single piece of product feedback extracted from a customer conversation. Contains the verbatim quote, who said it, how urgent it is, and what product area it relates to. One conversation may produce multiple insights.
A group of related insights automatically clustered by ClosedLoop AI. Represents a product problem or theme, scored by business impact. Updated daily as new evidence arrives.
Reach x Impact x Confidence — the first three dimensions of RICE prioritization, computed automatically from customer evidence. Effort is excluded because only your team knows what things cost to build.
An insight flagged by the AI as preventing or delaying a purchase. Identified from explicit statements (“this is a deal breaker”) or escalation language in conversations.
An insight flagged as threatening an existing customer relationship. Identified from dissatisfaction signals, competitor comparison, or explicit churn language.
The protocol that connects ClosedLoop AI to AI development tools like Claude Code and Cursor. Lets AI agents query customer evidence while building features.
A specific breakdown within a larger opportunity. A broad opportunity like “Payment issues” may contain features like “Double charges”, “Payment timeouts”, and “Refund failures”.