June AI

Teams use June AI to answer day-to-day product questions without building a dashboard first. After you connect your tracking and customer data through tools like Segment or an SDK, you can start by typing the exact question you need for a meeting, a QBR, or a sprint review. The system returns a ready-to-share result and the underlying SQL, which makes it easy to confirm definitions, adjust time windows, and apply account filters that match how your business reports.

A common workflow is onboarding analysis: check which accounts reached key milestones, where they dropped off, and how long activation takes by segment. For feature work, you can compare adoption before and after a release, identify which accounts tried the new capability, and see whether those accounts became more active or retained longer. For customer health, teams review accounts with declining usage, spot early churn signals, and share lists with CS or Sales for follow-up.

Analysts can edit the query directly to align with internal logic, then save the report for repeated use. Product and GTM teams reuse these saved views for weekly metrics, launch readouts, and monitoring account changes over time. By keeping reporting anchored to companies instead of anonymous users, it supports practical actions like prioritizing expansion opportunities, targeting enablement, and preventing churn.