SignalQLQuery language for product analytics

From Question to Answer ​

SignalQL gives product, data, and engineering teams a shared way to ask behavioral analytics questions. Funnels, counts, windows, and segments live in a readable query instead of a one-off dashboard change or a long SQL thread.

The result is faster iteration with clearer review: AI tools can draft SignalQL, the Postgres reference compiler produces SQL with bound parameters, and the portable model keeps analytics intent from getting trapped inside one vendor’s dashboard or warehouse dialect.

Choose your path ​

Build with SignalQL ​

• Run a first query with the CLI path, or run the local playground from a repo checkout.
• Connect AI tools through Cursor, Claude, ChatGPT, or MCP.
• Implement against the v0.1 spec, language scope, and AST schema.

Evaluate Adoption ​

• Why SignalQL explains the analytics and AI workflow gap.
• Adoption brief outlines a low-risk pilot, success criteria, and rollback.
• Portable data model shows how events, users, and sessions map across implementations.