Call Analytics for AI Voice Agent Testing

We're excited to announce our new analytics module for visualizing performance metrics during automated voice agent testing.

You can now quickly understand how your AI voice agents are performing over time.

Comprehensive Performance Metrics during Voice Agent Testing

Track critical metrics like:

• p50 latency measurements (median response time - half of all responses are faster than this)
• p90 latency measurements (90th percentile response time - 90% of responses are faster than this)
• Call duration (average, min, max)
• Scoring metrics (accuracy, completeness, etc.)

Why this matters

Understanding response times and performance metrics is crucial for delivering exceptional customer experiences with AI voice agents. Slow or inconsistent responses can frustrate users and damage brand reputation. Our analytics module enables you to:

• Optimize User Experience: Monitor and improve response times to ensure natural, fluid conversations
• Reduce Operational Costs: Identify and fix inefficiencies before they impact your bottom line
• Ensure Reliability: Track system stability and catch potential issues early
• Drive Continuous Improvement: Make data-driven decisions to enhance voice agent performance

With comprehensive analytics, you can confidently scale your voice AI operations while maintaining high quality standards. Teams can quickly identify areas for optimization and measure the impact of improvements over time.

Getting Started

To begin using the new analytics module:

1. Go to Voice Agents and select a voice agent
2. Navigate to the 'Trends' section
3. Start tracking performance

Looking Forward

This analytics module represents our commitment to providing comprehensive tools for voice AI testing and optimization. We're grateful to Jordan Farnworth from Podium for helping us improve our analytics capabilities.

More to come!