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

# QA Overview

> Overview of Reddy's AI-driven QA capabilities and setup process for QA teams

## Overview

Reddy's QA suite transforms your existing quality standards into AI-driven automatic call grading. Your QA scorecard powers both real call evaluations and training simulations, delivering consistent scoring and personalized agent feedback based on your organization's quality criteria.

## What You'll Need

* Your existing QA scorecard with quality standards and evaluation criteria
* 20+ call recordings (mix of performance levels) for testing and calibration
* QA team members and subject matter experts to validate scoring accuracy

<Info>
  QA scorecards are configured at the product level. Gather these requirements for each product scorecard you'll create.
</Info>

## QA Setup Checklist

<Steps>
  <Step title="QA Scorecard Configuration">
    Set up your QA items so they are automatically graded by Reddy's AI.

    **What you'll do**:

    * Navigate to Products and configure QA items
    * Define requirements for each QA item
    * Set up Pass/Fail or Score-based grading
    * Organize items into logical sections

    **Estimated Time**: 1 week

    [Configure QA Scorecards →](/onboarding/quality-assurance/qa-scorecards)
  </Step>

  <Step title="Manual Reviews and Evaluations">
    Build benchmark data by manually scoring calls and flagging discrepancies.

    **What you'll do**:

    * Upload test calls for evaluation
    * Manually score calls or flag scoring discrepancies
    * Provide detailed feedback for refinement

    **Estimated Time**: 1 week

    [QA Evaluations →](/manual/qa/qa-evaluations)
  </Step>

  <Step title="QA Fine-Tuning">
    Reddy uses your evaluations to fine-tune and refine the QA scorecard configurations for improved accuracy.

    **What happens**:

    * Reddy analyzes your manual scores and feedback
    * QA scorecard configurations are refined based on your evaluations
    * Scoring accuracy is improved for future calls

    **Estimated Time**: 1-2 weeks

    <Info>
      QA fine-tuning is handled by Reddy's team using the data you provided in the previous step.
    </Info>
  </Step>
</Steps>

## Team Coordination

<CardGroup cols={3}>
  <Card title="QA Managers & SMEs" icon="user-tie">
    Define quality standards, configure scorecards, and validate quality criteria
  </Card>

  <Card title="QA Evaluators" icon="clipboard-check">
    Manually score calls, flag discrepancies, and validate scorecard accuracy
  </Card>

  <Card title="Reddy Team" icon="headset">
    Fine-tune QA models and provide technical support and configuration guidance
  </Card>
</CardGroup>

## Want to Learn More?

<CardGroup cols={2}>
  <Card title="QA Scorecard Configuration →" icon="book" href="/onboarding/quality-assurance/qa-scorecards">
    Step-by-step instructions for configuring QA items and organizing your scorecard
  </Card>

  <Card title="QA Evaluations →" icon="flag" href="/manual/qa/qa-evaluations">
    How to manually score calls and flag discrepancies to refine accuracy
  </Card>
</CardGroup>

## Next Steps

Create your first QA scorecard in Reddy! Follow the [QA Scorecard Configuration Guide](/onboarding/quality-assurance/qa-scorecards) for step-by-step instructions.