AI query examples

Ask questions in plain English. The AI Analyst plans a SQL query, runs it against your data, and returns a chart with an explanation — every answer is an inspectable statement, nothing proprietary.

01Revenue

Revenue impact, attribution, and expansion analysis.

ai-explorer

"Why did Enterprise MRR drop last week?"
"Which feature correlates with plan upgrades?"
"Show sessions where checkout errors cost us over $100"
"Which channels drove last quarter's highest-LTV customers?"

02Funnel & retention

Conversion funnels, retention curves, and drop-off analysis.

ai-explorer

"Show retention for users who hit the activation event"
"Where do mobile users drop out most in the signup funnel?"
"Compare D7 retention cohort-by-cohort for the last 6 months"

03Errors

Error tracking correlated with deployments and user impact.

ai-explorer

"Top 5 errors on the billing.update endpoint this week"
"Did deploy 2026.04.18-r7 regress any error groups?"
"Find sessions with network timeouts over 5 seconds"

04Segments

Geographic, device, and user-segment slicing.

ai-explorer

"Compare conversion between mobile and desktop in the US"
"Show me sessions from Berlin where users errored during checkout"
"Which countries have the slowest page load times?"

Every answer is inspectable. The AI returns its SQL alongside the chart. You can edit the SQL directly, save the query as a named dashboard, or export the raw rows.