> ## Documentation Index
> Fetch the complete documentation index at: https://library.micro1.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# How quality works

Data quality is at the heart of everything we do. Here's how it works:

## Review layers

Tasks typically go through multiple quality checks:

1. **You** create the task following guidelines
2. **Peer reviewers** check your work for accuracy and guideline adherence
3. **Operations team** may conduct additional quality checks
4. **Client review** (in some pipelines) provides final approval

## Feedback process

When reviewers find issues, you'll receive feedback via:

* **Slack DMs** or group chats with your lead
* **Platform comments** on specific tasks
* **General guidance** shared in team channels

This feedback helps you improve and maintain high quality. We're all learning together!

## Performance tracking

Your work is tracked to ensure consistency:

* **Task quality scores** based on review results
* **Time per task** to identify efficiency patterns
* **Guideline adherence** to maintain standards

If your performance needs improvement, your pipeline lead will reach out with specific guidance.