QEval vs. Call Journey

Manual call center QA covers 1 to 5% of interactions. The other 95% goes unreviewed. QEval closes that gap with AI-powered quality assurance that scores every voice, chat, and email interaction automatically. The platform combines speech analytics, sentiment analysis, compliance monitoring, keyword detection, automated evaluation workflows, agent coaching tools, gamification, and 110+ analytics dashboards. Compliance includes PCI, HIPAA, and GDPR at 98% accuracy with real-time violation alerts. The scoring engine is trained on 138M+ contact center interactions and delivers 94% classification accuracy. Organizations deploy QEval in 30 days, three to four times faster than typical quality monitoring platforms. Etech Global Services developed QEval through 20+ years of operating contact centers for Fortune 500 clients in healthcare, telecom, retail, banking, and BPO. ISO 27001, SOC 2, PCI-DSS certified. Built for QA managers, CX directors, and operations leaders replacing manual QA. Additional capabilities include call recording and playback, screen capture for desktop activity review, customizable evaluation scorecards, QA calibration sessions to ensure scoring consistency across evaluators, and dispute management workflows for agents to challenge scores. The platform supports omnichannel quality monitoring with unified scoring across phone, chat, email, and social media interactions. Supervisors access real-time dashboards to monitor live calls and intervene when needed. Automated alerts flag compliance risks, negative sentiment spikes, and performance drops instantly. Role-based permissions, audit logging, and end-to-end encryption meet enterprise security requirements. QEval connects with CRM, ACD, workforce management, and telephony systems through API integrations. Multi-site and multilingual support enables centralized QA management across geographically distributed contact center operations.

Customers predominantly prefer voice communication when interacting with organizations, as it serves as the most intuitive medium. Despite its natural appeal, extracting valuable insights from voice interactions can be quite challenging. Taking contact centers as a case in point, while they excel at analyzing call metrics, they often depend on post-call surveys for evaluating quality. Unfortunately, the actual dialogues are frequently overlooked in this process, and these surveys fail to grasp the nuances and significance of the discussions that take place. Over the past year, numerous users within the VoiceAI ecosystem have harnessed these technologies to analyze their calls effectively. By enhancing risk management and compliance procedures, organizations have seen a reduction in penalties. Additionally, they have benefited from increased sales opportunities and enriched customer profiling by gaining a deeper understanding of the customer journey. Moreover, by pinpointing verbal patterns that correlate with successful sales, conversion rates can be significantly improved. Ultimately, leveraging voice analytics can bridge the gap between raw data and actionable insights, transforming how organizations understand their customer interactions.