Compare QEval vs. Yandex SpeechSense

Contact center QA teams evaluate 1 to 5% of calls manually. QEval eliminates that bottleneck by applying AI speech analytics and automated scoring to 100% of interactions across voice, chat, and email, using a classification engine trained on 138M+ real conversations. Capabilities span quality monitoring, compliance detection for PCI, HIPAA, and GDPR at 98% accuracy, sentiment analysis, keyword identification, agent coaching workflows, performance gamification, and predictive analytics across 110+ configurable dashboards. Quality scoring runs at 94% accuracy with zero manual intervention. Deployment takes 30 days. Industry standard is 90 to 120. No disruption to live operations. Etech Global Services built QEval from two decades of running Fortune 500 contact centers in healthcare, telecom, retail, banking, and BPO. ISO 27001, SOC 2, PCI-DSS certified. Built for QA leaders and operations teams scaling coverage without adding headcount. QEval also provides call recording management, screen capture, custom evaluation forms, calibration tools for QA consistency, root cause analysis, trend identification, and automated alert systems for compliance breaches. The voice of customer module tracks customer sentiment across touchpoints to identify service gaps and training opportunities. Real-time monitoring lets supervisors intervene during live interactions. Role-based access controls, audit trails, and data encryption ensure enterprise-grade security. QEval supports multi-site and multilingual contact center environments with centralized reporting across locations. API integrations connect QEval with existing CRM, telephony, and workforce management systems. Automated report scheduling delivers insights to stakeholders without manual effort.

Introducing an advanced solution for in-depth examination of both voice and text communication channels. Enhance the quality and efficiency of your services while extracting essential insights that truly resonate with your customers. Receive actionable feedback in just minutes, as we annotate the entire conversation with tags to swiftly identify key elements and assess service quality. Significantly reduce the time spent on analyzing messages and call logs, respond to context-sensitive inquiries, and assess your operators' engagement levels along with the order of their actions. Implement a robust speech analysis system that makes use of multiple machine learning services concurrently. Develop a chatbot for support services, and obtain comprehensive reports derived from the gathered data on chat interactions and the conduct of both customers and operators during calls. Additionally, create a dedicated space within your organization, initiate a new project, and establish a connection to streamline operations. Subsequently, integrate your telephony and CRM systems with Yandex SpeechSense to facilitate the seamless loading of all conversations for further analysis, enabling a more proactive approach to customer interactions. By adopting these innovative technologies, you can transform your customer service strategy and enhance overall satisfaction.