# Organization

An **Organization** is the top level container that Sleuth uses to organize your [Projects](/sleuth-dora/modeling-your-deployments/projects.md). Most Sleuth users will spend the majority of their time in the project-level, deployment-level, and team-level dashboards. However, for managers or executives looking for the 50-foot view of their Organization's engineering efficiency, Sleuth offers multiple ways to slice and dice your organization-wide performance.

![](/files/n4OVyOkJee62jUwdSRVT)

* [Compare](/sleuth-dora/modeling-your-deployments/organization/compare.md) and contrast DORA metrics across any combination of [projects](/sleuth-dora/modeling-your-deployments/projects.md), [labels](/sleuth-dora/modeling-your-deployments/organization/labels.md), or [teams](/sleuth-dora/modeling-your-deployments/teams.md)
* See the overall [Status](/sleuth-dora/modeling-your-deployments/organization/status.md) of your organizations [projects](/sleuth-dora/modeling-your-deployments/projects.md) or [teams](/sleuth-dora/modeling-your-deployments/teams.md) at a glance
* Get a snapshot view into exactly what's been changing across your [projects](/sleuth-dora/modeling-your-deployments/projects.md) and [teams](/sleuth-dora/modeling-your-deployments/teams.md)
* [Search](/sleuth-dora/modeling-your-deployments/organization/search.md) for any deploy across all of your organization's [projects](/sleuth-dora/modeling-your-deployments/projects.md), [environments](/sleuth-dora/modeling-your-deployments/environment-support.md), and [teams](/sleuth-dora/modeling-your-deployments/teams.md) via any dimension (issue key, pull request titles, author and more)


---

# Agent Instructions: Querying This Documentation

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

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://help.sleuth.io/sleuth-dora/modeling-your-deployments/organization.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.