# Introduction MixedVoices is an analytics and evaluation tool for voice agents. Track, visualize, and optimize agent performance through conversation analysis, call quality metrics and call flow charts. Run simulations to test the agent before pushing to production. Whether you're building a customer service bot, a virtual receptionist, or any other voice-based AI agent, MixedVoices helps you understand and improve your agent's performance through data-driven insights and systematic evaluation. ### Why MixedVoices? Voice agents are becoming increasingly prevalent in business operations, but developing and maintaining high-quality voice interactions presents unique challenges: * How do you ensure consistent performance across different conversation scenarios? * How do you measure and improve the quality of interactions? * How do you identify and fix issues before they affect real users? MixedVoices addresses these challenges by providing: 1. **Comprehensive Analytics**: Analyze every aspect of your voice interactions, from high-level success metrics to detailed conversation patterns. 2. **Systematic Evaluation**: Test your agents systematically with generated test cases that cover various scenarios and edge cases. 3. **Quality Metrics**: Track both technical metrics (latency, interruptions) and conversation quality metrics (empathy, conciseness). 4. **Visual Insights**: Understand conversation flows and patterns through interactive visualizations. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://mixedvoices.gitbook.io/docs/readme.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.