---
title: "Assignment Analytics"
slug: "assignment-analytics"
updated: 2026-08-12T04:45:05Z
published: 2026-08-12T04:45:05Z
canonical: "docs.dataloop.ai/assignment-analytics"
---

> ## 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.

# Assignment Analytics

## Assignment Analytics Overview

The **Assignment Analytics** page provides performance and progress insights for a specific assignment. It helps project managers monitor item completion, annotation activity, review status, and quality issues at the assignment level. Also, it allows you to analyze data across **Progress, Performance, QA, User Stats, and Scores**. The example below shows the **Progress** view of an assignment. You can explore similar insights in the other tabs.

![](https://cdn.document360.io/53f32fe9-1937-4652-8526-90c1bc78d3f8/Images/Documentation/Screenshot 2026-02-11 at 11.23.07.png)

## Why These Metrics Matter

Task analytics help you:

- Monitor individual assignment progress
- Identify quality or review bottlenecks
- Analyze annotation distribution
- Track annotator performance
- Make allocation adjustments if needed

## High-Level Metrics (Top Summary)

These metrics give a quick snapshot of the task status:

- **Total Items:** The total number of items included in this assignment.
- **Raw Items (%):** The percentage of items that remain untouched or unprocessed.
- **Annotations:** The total number of annotations created within this assignment.

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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.
- **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 assignment 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