> For the complete documentation index, see [llms.txt](https://docs.hivel.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.hivel.ai/using-hivel/cockpit/hivel-score.md).

# Hivel Score

<table data-view="cards" data-full-width="true"><thead><tr><th align="center"></th><th data-hidden data-card-target data-type="content-ref"></th></tr></thead><tbody><tr><td align="center"><h4>Org level score calculation</h4></td><td><a href="/using-hivel/cockpit/hivel-score/org-level-hivel-score-calculation.md">Org level Hivel Score Calculation</a></td></tr><tr><td align="center"><h4>Team level score calculation</h4></td><td><a href="/using-hivel/cockpit/hivel-score/team-level-hivel-score-calculation.md">Team level Hivel Score Calculation</a></td></tr></tbody></table>

{% embed url="<https://drive.google.com/file/d/1vlSqUweLQTIdhDFDqeeo7V7HncBHLI5d/view>" %}

Hivel Score provides engineering leaders with a fast, reliable snapshot of overall performance - without the need to navigate multiple dashboards. It brings together key signals like **speed, quality, and throughput** into a single, easy-to-understand score.

#### What is Hivel Score?

Hivel Score is an **aggregate, organization-level indicator** that reflects how your teams are performing across core engineering metrics. Each score is presented out of 100, making it simple to quickly assess performance at a glance.

<div data-with-frame="true"><figure><img src="https://3057781534-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F5KAIOUWph0JLSgQqbzyT%2Fuploads%2FPrgVE58rQnAK47jxBfli%2Fimage.png?alt=media&amp;token=3aac2f54-c15b-4fea-b0e8-4446972e7388" alt=""><figcaption></figcaption></figure></div>

#### How to interpret the score

* **Scores are contextual**: They are most meaningful when compared to a previous timeframe.
* **Trend-focused**: The score highlights whether metrics have improved, declined, or remained stable.
* **Drilldowns available**: Supporting metrics and percentage changes provide deeper insights into what’s driving the score.

#### Why it matters

Hivel Score is designed to help you:

1. **Quickly assess performance health** across teams or the entire organization
2. **Identify areas of improvement** by understanding metric-level changes
3. **Track score progress over time**

<div data-with-frame="true"><figure><img src="https://3057781534-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F5KAIOUWph0JLSgQqbzyT%2Fuploads%2FkW4r7mew5Jt38b5Gue9T%2Fimage.png?alt=media&amp;token=b94559e2-5bb6-4c58-bfa6-e20f7594bb52" alt=""><figcaption></figcaption></figure></div>

#### What you can configure

The metrics and weightages to be considered are completely configurable.

* Changes made to **sub-metric configurations** will impact the Hivel Score from the **current month onward only**.
* Changes made to **primary metric configurations** will **impact past, current, and future months**.

<div data-with-frame="true"><figure><img src="https://3057781534-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F5KAIOUWph0JLSgQqbzyT%2Fuploads%2FecxiqFR2f65L5lYwo5hM%2FScreen%20Cast%202026-06-05%20at%203.53.01%20PM.gif?alt=media&amp;token=c72aad37-15e0-4334-b48d-a3e407d8be25" alt=""><figcaption></figcaption></figure></div>

#### About scoring and stack ranking

The scoring system, along with the stack rank view, is intended to provide **directional clarity** - helping you understand how teams are progressing over time and where attention may be needed.

Rather than serving as a direct comparison tool, it offers a **relative view of performance trends**, making it easier to:

* Spot teams that are improving or facing challenges
* Highlight which metrics may need focus
* Understand how performance evolves across the organization

<div data-with-frame="true"><figure><img src="https://3057781534-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2F5KAIOUWph0JLSgQqbzyT%2Fuploads%2F06GLGYmtGuPkCiVHTdyE%2Fimage.png?alt=media&amp;token=2a83907b-0914-460f-821c-2fc027f8eccb" alt=""><figcaption></figcaption></figure></div>
