---
title: "Analytics"
slug: "analytics-tab"
updated: 2026-02-18T16:56:26Z
published: 2026-02-18T16:56:26Z
canonical: "docs.dataloop.ai/analytics-tab"
---

> ## Documentation Index
> Fetch the complete documentation index at: https://docs.dataloop.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Analytics

## Task Analytics Overview

The **Analytics** tab provides visibility into task progress, annotation activity, and data quality. It helps project managers track completion, identify issues, and monitor annotation distribution. Also, it allows you to analyze data across **Progress, Performance, QA, User Stats, and Scores**. The example below shows the **Progress** view of a task. You can explore similar insights in the other tabs. Learn more about Analytics here.

![](https://cdn.document360.io/53f32fe9-1937-4652-8526-90c1bc78d3f8/Images/Documentation/Screenshot 2026-02-10 at 23.45.52.png)

## Why These Metrics Matter

Task analytics help you:

- Track progress in real time
- Detect annotation or review bottlenecks
- Monitor data quality and consistency
- Make informed decisions about task allocation and QA

### High-Level Metrics (Top Summary)

These metrics give a quick snapshot of the task status:

- **Progress (%):** Shows the percentage of completed items out of the total items in the task.
- **Total Items:** The total number of data items included in the task.
- **Remaining:** The number of items that still require work.
- **Annotations:** The total number of annotations created for the task so far.

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### Item Status Metrics

These counters break down the current state of items in the task:

- **Completed:** Number of items successfully completed by annotators.
- **Secondary Status:** Displays additional status information if secondary workflows are enabled (for example, rework or custom states).
- **Discarded:** Number of items removed from the workflow due to irrelevance or quality issues.
- **With Issues:** Number of items that have reported issues associated with them.
- **Corrected:** Number of items that were modified or fixed during review or QA.
- **Reviewed:** Number of items that have passed the QA or review process.

Each metric includes both a **count** and a **percentage** relative to the total number of items.

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### Status Distribution Graph

This chart visualizes how items are distributed across different statuses, such as:

- Complete
- Discarded

It provides a fast way to assess overall task health and identify bottlenecks.

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### Annotation Metrics

#### Annotations by Labels

This table and bar chart show how annotations are distributed by **label**:

- **Label name**
- **Number of uses**
- **Percentage of total annotations**

This helps identify:

- Label imbalance
- Overused or underused labels
- Annotation trends within the task

#### Annotations by Tools

This view groups annotations by the **annotation tools** used (for example, bounding box, polygon, or classification), helping teams understand how data is being annotated.

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## User Filter

You can filter analytics by **user** to:

- View individual annotator contributions
- Compare performance across users
- Identify training or quality gaps

## Issues / For Review Section

This table lists items within the task that:

- Have reported **issues**
- Are marked **for review**

It includes:

- Item thumbnail
- Item name
- Assignee
- Number of issues or review flags

This section allows managers to:

- Identify problematic items
- Follow up with annotators
- Track review workload