> For the complete documentation index, see [llms.txt](https://docs.groundcover.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.groundcover.com/~/revisions/1mY0CQn12Klyi0QiItHv/use-groundcover/dashboards-and-alerts.md).

# Dashboards

Learn how to build custom dashboards using groundcover

groundcover’s dashboards are designed to personalize your data visualization and maximize the value of your existing data. Dashboards are perfect for creating investigation flows for critical monitors, displaying the data you care about in a way that suits you and your team, and crafting insights from the data on groundcover.

Easily create a new Dashboard [using our guide](/~/revisions/1mY0CQn12Klyi0QiItHv/use-groundcover/dashboards-and-alerts/create-a-dashboard.md).

<figure><img src="https://2771001740-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FUHgqKYgCiRKdOpWQdi52%2Fuploads%2Fgit-blob-f7fff123589259ee2cc1d4037ca604240954bd6e%2FDashboard%20screenshot.png?alt=media" alt=""><figcaption><p>Example of a groundcover Dashboard</p></figcaption></figure>

#### **Key Features**

* **Multi-Mode Query Bar**: The Query Bar is central to dashboards and supports multiple modes fully integrated with native pages and Monitors. Currently, the modes include Metrics, Infra Metrics, Logs, and Traces. Learn more in the [Query Builder section](/~/revisions/1mY0CQn12Klyi0QiItHv/use-groundcover/querying-your-groundcover-data/explore-and-monitors-query-builder.md).
* **Variables**: Built-in variables allow you to filter data quickly based on a predefined list crafted by groundcover.
* **Widget Types**: Two widget types are currently supported:
  * Chart Widget: Displays data visually.
  * Textual Widget: Adds context to your dashboards.
* **Display Types**: Five display types are supported for data visualization:
  * Time Series, Table, Stat, Top List, and Pie. Read more in the[ Widget Types section.](#widget-types)


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.groundcover.com/~/revisions/1mY0CQn12Klyi0QiItHv/use-groundcover/dashboards-and-alerts.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
