## Analytics

Analytics docs cover dashboards, rollups, event tracking, cohorts, filters, exports, and the differences between operational views and reporting views.

{% figure src="/docs-images/gitbook-products-analytics.png" alt="GitBook analytics product docs page" caption="The analytics product guide gives readers a public reference for dashboard states, filters, and reporting interpretation before they rely on app-level metrics." /%}

## What to document

Explain which metrics are reader-facing, how time ranges and filters affect interpretation, and which reports update immediately versus on a lag. Call out where analytics numbers are directional rather than ledger-grade so readers do not over-trust exploratory dashboards.

## Browser evidence

Include screenshots for dashboards, filter states, exports, and empty or loading states when those views become stable enough to anchor docs.

## Source of truth

Confirm analytics terminology against the current metrics implementation and workflow specs before publishing definitions that look official.