> For the complete documentation index, see [llms.txt](https://guide.indigo.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://guide.indigo.ai/getting-started/workspace/utilities/issue-tracker.md).

# Issue Tracker

The Issue Tracker is your control center for **monitoring and managing issues related to your virtual assistant**. Whether it's a bug report, a feature request, or an improvement suggestion, this section helps you stay on top of everything that requires attention.

### 🔍 The Issue Tracker Dashboard

The dashboard offers a streamlined view of all open, in-progress, and resolved items in your workspace.

<figure><img src="/files/kToueBH6088W9eVi8WZT" alt=""><figcaption></figcaption></figure>

Each issue is displayed in a table format with key details:

* **Identifier** – A unique code like `AZI-20`, automatically generated.
* **Priority** – Visual indicators (e.g., bar icon 📶) show urgency (Low, Medium, High).
* **Subject** – The issue title for quick recognition.
* **Created / Last Edited** – Track timestamps for audit and update history.
* **Tags** – Labels like “Bug” or “Improvement” for classification.
* **Comments** – Indicates collaboration level on the issue.

You can also:

* Use the **search bar** 🔍 to locate specific issues.
* Apply **filters** ➕ to narrow down by status, tag, or date.
* Click **Create Issue** to open a new issue form.
* Use the **calendar selector** 📅 to explore issues on specific dates.

### 📝 Creating a New Issue

Click the **“+ Create Issue”** button at the top right of the dashboard.

<figure><img src="/files/IpE2NxH7TjGoLlefqcgg" alt=""><figcaption></figcaption></figure>

From here, you'll access a form where you can enter all necessary details:

* **Subject** – Title of the issue.
* **Requester** – Who reported it.
* **Assignee** – Person responsible for resolving it.
* **Source** – Environment (e.g., Production).
* **Priority** – Set importance (High, Medium, Low).
* **Status** – Track workflow (Backlog, In Progress, Resolved).
* **Tags** – Add context (e.g., Bug, Improvement).
* **Description** – Add a detailed explanation of the problem or feature.
* **Comments** – Discuss directly within the issue thread.

You can edit or delete any issue using the respective **“Edit”** or **“Delete Issue”** options at the bottom of the issue detail view.

<figure><img src="/files/Zs4XgMLpqBrQ14hog1BC" alt="" width="388"><figcaption></figcaption></figure>

### 🔄 Managing and Prioritizing Work

Once created, issues move through different stages:

1. **Backlog** – Newly created items awaiting triage.
2. **In Progress** – Actively being worked on.
3. **Resolved/Closed** – Completed or no longer needed.

Use **Tags** to group issues into themes like:

* **Bug** – Technical issues or malfunctions.
* **Improvement** – UX enhancements or backend optimizations.
* **Feature** – New functionalities or requests.

Assigning a **priority level** ensures high-impact items get tackled first. This is especially useful for large teams or complex environments.

### 💬 Collaboration and Transparency

Each issue supports a comment thread, making it easy to:

* Share updates.
* Ask questions.
* Record decisions.

This ensures everyone stays aligned—no need to jump into external tools or chats.

### ✅ Best Practices

* **Keep descriptions detailed** so assignees understand the context.
* **Use tags consistently** for better filtering and reporting.
* **Update status and priority** regularly to reflect current progress.
* **Encourage commenting** to keep communication centralized.


---

# 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 dynamically by asking a question.

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

```
GET https://guide.indigo.ai/getting-started/workspace/utilities/issue-tracker.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.
