QEval
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.
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qTest
Software testing must be centrally managed and visible from conception to production in order to make software releases more secure and faster. Tricentis qTest enables teams to collaborate and ship faster, with less risk, by unifying, managing, and scaling testing across the enterprise. Robust testing includes a variety of testing tools, teams, test types, and testing methods. Tricentis qTest combines them all so that teams can release more confidently and reduce risk. It also helps identify opportunities to move faster - collectively. Automate more testing, increase the release velocity, and bring together teams throughout the software development process. Native DevOps integrations such as Jira, Jenkins and GitHub keep QA and development in sync. With a full audit trail, trace defects and tests back to development and requirements. Align teams with cross-project reporting.
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Clari Copilot
Clari Copilot (previously Wingman) transforms your revenue team by enabling them to win every revenue-critical situation.
Clari Copilot’s conversation intelligence platform gives reps and managers everything they need to compete fiercely and spot revenue leaks. They can also close deals faster.
Clari Copilot and Clari together give you everything you need to manage revenue on a single platform. Clari Copilot stores your conversation data right where your sales team is working, Clari.
Clari Copilot is used by top sales teams from Chargebee, Oktopost and Properly Homes to manage their revenue.
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VoiceOps
The VoiceOps Coaching Enablement platform unlocks the potential of call center collections and sales conversations by making coaches more efficient. It is based on the Behavior Change Cycle methodology, which helps coaches measure key behaviors, get right to the most coaching moments in each call, build trust and confidence with reps, and drive better customer interactions.
It's a win/win situation: Call center reps receive more from their coaches, companies get more out of their reps, while customers get more value for every call.
VoiceOps places data quality at the forefront of coaching enablement. The company has invested considerable expertise and resources in creating a technical data operation that provides industry-leading data quality. VoiceOps has hundreds of industry-specific data sets that can be used for model training. This combined with a human in-the-loop quality assurance process creates data quality customers can trust and value at a premium.
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