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
QA scorecards are configured at the product level. Gather these requirements for each product scorecard you’ll create.
QA Setup Checklist
1
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
2
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
3
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
QA fine-tuning is handled by Reddy’s team using the data you provided in the previous step.
Team Coordination
QA Managers & SMEs
Define quality standards, configure scorecards, and validate quality criteria
QA Evaluators
Manually score calls, flag discrepancies, and validate scorecard accuracy
Reddy Team
Fine-tune QA models and provide technical support and configuration guidance
Want to Learn More?
QA Scorecard Configuration →
Step-by-step instructions for configuring QA items and organizing your scorecard
QA Evaluations →
How to manually score calls and flag discrepancies to refine accuracy