Case Study: Uplyft achieves faster QA reviews and better coaching insights with Enthu.AI

A Enthu.AI Case Study

Uplyft saves 500+ QA hours a month with Enthu.AI

Uplyft, a UK-based lead generation agency, faced a significant challenge as its rapid growth to a 400-member team created an unmanageable volume of customer calls for its quality assurance process. Relying on manual reviews of recordings and spreadsheets, the QA team could only analyze a small fraction of conversations, leaving major blind spots in performance and customer understanding. They needed a smarter solution from a vendor like Enthu.AI to reduce administrative work and focus on agent improvement.

Enthu.AI implemented a solution that provided fast transcription and deep, contextual analysis of calls, using custom scorecards tailored to Uplyft's specific campaigns. The results were immediate and substantial, saving the QA team over 500 hours each month—a 90% reduction in monitoring time. This efficiency gain allowed for more coaching, contributing to a 22% improvement in booked meetings and transforming their QA process from reactive firefighting to proactive, data-backed coaching.


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