Inspect and filter Copilot Studio user feedback by agent, search, and context

Inspect and filter Copilot Studio user feedback by agent, search, and context targets a $3.2B = 800k developer/product teams x $4K ACV (tools for developer analytics & feedback) total addressable market with medium saturation and a year-over-year growth rate of 30%+ annual growth in developer tooling and AI ops spending as enterprises adopt agent platforms.

Key trends driving demand: AI-agent proliferation -- more teams are building assistant/agent experiences that generate conversational telemetry needing specialized analysis.; Embeddings & vector search -- cheap semantic search enables rich query/filter UX across conversation logs and feedback.; Developer-first observability -- shift from ops-only monitoring to product & dev teams owning feedback loops and model behavior metrics.; Open-source adoption -- teams prefer tools they can own and extend, favoring open-source integration points over opaque hosted analytics..