QEval vs. AutoQC

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.

AutoQC delivers an all-encompassing evaluation of recorded dialogues, interviews, and survey responses, specifically designed to meet the demands of quality assurance, customer experience, and research teams. These teams can customize call evaluations in accordance with their operational protocols, assess necessary measures and follow-up actions, and resolve customer concerns through relevant conversations. In research contexts, AutoQC enables the juxtaposition of submitted answers with interview recordings and survey guidelines, while also methodically organizing qualitative insights based on research objectives, participant demographics, and analytical strategies. The resulting outputs may include themes, insights, and source references, which allow reviewers to trace conclusions back to the original material. Each workflow is tailored to meet the specific needs of the team, adhering to their assessment criteria and desired results, which includes an examination of representative samples before broader implementation. Furthermore, it optimizes various workflows, such as quality assurance, customer experience, sales strategies, and market research, all of which benefit from recorded conversations or qualitative feedback to enhance decision-making processes. By utilizing AutoQC, organizations not only boost their analytical proficiency but also foster more trustworthy conclusions derived from their data, leading to improved strategic planning and execution. Ultimately, the integration of AutoQC can significantly transform how organizations interpret and act upon their qualitative data.