> ## Documentation Index
> Fetch the complete documentation index at: https://docs2.growthbook.io/llms.txt
> Use this file to discover all available pages before exploring further.

# Product Analytics

> Explore your data, build dashboards, and turn metrics into product insights without leaving GrowthBook.

Product Analytics turns the data and metrics you've already configured in GrowthBook into a general-purpose analytics workspace. Visualize KPIs, explore raw events, run ad-hoc SQL, and share curated views with your team — without launching an experiment.

Product Analytics is made up of two surfaces:

* **[Explorer](/app/product-analytics/explorer)** — Build one-off charts from your metrics, fact tables, or raw warehouse tables. Ask questions in natural language, or configure explorations manually.
* **[Dashboards](/app/product-analytics/dashboards)** — Combine multiple explorations, SQL queries, and markdown into a single shareable view that auto-refreshes on a schedule.

Both surfaces read from the same [data sources](/warehouses), [fact tables, and metrics](/app/metrics) you already use for experimentation, so there's no separate event pipeline or instrumentation to set up.

## Plan Availability

| Capability                                          | Plan                                                  |
| :-------------------------------------------------- | :---------------------------------------------------- |
| Explorer (Metrics, Fact Table, Data Source)         | All plans                                             |
| AI Chat in the Explorer                             | Pro+ (requires the AI Suggestions commercial feature) |
| Custom SQL Reports (saved queries + visualizations) | Pro+                                                  |
| Product Analytics Dashboards (private)              | Pro+                                                  |
| Sharing dashboards across the organization          | Enterprise                                            |

The Explorer is currently in **Beta**. We're actively expanding the supported chart types, dimensions, and data sources.

## Getting Started

1. Connect a [data source](/warehouses) so GrowthBook can run queries against your warehouse. If you don't have a warehouse yet, you can use a [Managed Warehouse](/app/managed-warehouse) to get started without provisioning your own.
2. Define [fact tables and metrics](/app/metrics) — these power the Metric and Fact Table explorers, and they're what dashboard blocks visualize.
3. Open **Product Analytics** in the left sidebar to start exploring.

The first time you point an explorer at a data source, GrowthBook builds an *information schema* — an index of databases, schemas, tables, and columns — so the Fact Table and Data Source explorers can show you what's available. This is a one-time, per-data-source step that runs in the background.

## What's Next

* **[Build your first chart](/app/product-analytics/explorer)** in the Explorer.
* **[Assemble a dashboard](/app/product-analytics/dashboards)** that combines multiple charts, SQL queries, and context.
* **[Connect Custom SQL Reports](/app/product-analytics/explorer#custom-sql-reports)** for analyses that don't fit a structured explorer.