# Editing Time

{% hint style="warning" %}
Note: this metric is **only shown at a team level**, not an individual level.
{% endhint %}

![Editing Time graph](https://cdn.prod.website-files.com/610c8a14b4df1ae46b1a13a3/640697ca8fabd66171401973_Editing%20Time.jpg)

**What it is:** This metric shows how long code takes to get merged once feedback has been received.

**Why it matters:** As a measure of back-and-forth between the code author and those who are reviewing the code, `Editing Time` is important for understanding bottle-necks in `Change Lead Time`. A high `Editing Time` could mean that the team needs to improve how they scope work, the received feedback is confusing, the PRs being created are large, or there are other distractions preventing fast iteration. A low `Editing Time` indicates that the team is able to quickly action feedback and ship work once it has been reviewed.&#x20;

**How we calculate it:**  We measure the number of hours from first feedback on the PR to PR merge, i.e. the back-and-forth editing time. If there was no response before the merge, `Editing Time` is `null`. See [here](/metrics-and-definitions/process-metrics/flow-of-work/change-lead-time.md#additional-calculation-notes-for-change-lead-time-and-subsets) for some additional calculation notes that apply from `Change Lead Time`.

{% hint style="success" %}
**What good looks like**

We recommend that `Editing Time` be under **16 hours**. This threshold is based on an internal analysis conducted by Multitudes across 80,000 PRs from a diverse range of customers and comparing against the SPACE and DORA research.
{% endhint %}


---

# 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://docs.multitudes.com/metrics-and-definitions/process-metrics/flow-of-work/editing-time.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.
