What if you could understand the tone, emotion and intent behind a customer interaction, all in an instant? Well, you can. Under the broader umbrella of conversation intelligence, customer sentiment analytics provide contact centers with unparalleled insight. Having this information to hand, with minimal human effort, gives organizations all the qualitative information they need to…
Read moreDo androids dream of electric empathy? How AI is leading to a humanless customer experience
We discuss how human interaction and customer service conversations will be overtaken by the evolution of AI. It’s 8 years since Alice & Bob, two Facebook AIs, had their famous conversation on Meta’s (Facebook’s) digital channels. The result was a trip to say the least. Facebook shut them down and we all had a giggle…
Read moreEmpathy in action: How identifying vulnerable customers can improve CX
No two customers are the same. Some may have a straightforward query that you’re able to solve in a matter of moments. Others, meanwhile, may need extra care for any number of reasons – and recognizing these vulnerabilities is not just a matter of good service; it’s a necessity. In this blog, we’ll explore what…
Read moreWhat can voice analytics tell you about your customers?
Voice analytics, sometimes called conversation analytics, offers businesses the ability to decode tone, sentiment, and intent to improve customer experience and drive smarter decisions. By analyzing both the words spoken and the emotions behind them, voice analytics allows businesses to uncover actionable insights that would otherwise go unnoticed. In this post, we explain how voice…
Read moreResponsible AI: How evaluagent builds trust, not risk
The undoubted power of Artificial Intelligence (AI) comes with real worries and responsibilities, particularly concerns over how providers use their customers’ data. At evaluagent, we recognise these concerns and that’s why we develop to an ethical, and customer-centric standard often called ‘responsible AI’. In this article, we’ll explore what responsible AI means, why it matters,…
Read moreIntroducing xMetrics: the Voice of your Customer has never been clearer
Imagine you could understand the specific reason why customers are repeatedly contacting you, at scale. What if you could uncover not only the number of customers you have that are vulnerable, but why? Enter predictive Voice of the Customer metrics: AI-driven insights that allow contact centers to anticipate customer experience issues before they escalate….
Read moreDemocratizing AI: Making customer experience insights accessible to all
As CTO at evaluagent, I’m constantly inspired by the rapid evolution of AI and its potential to revolutionize how businesses understand their customers. Here at evaluagent, we’re exploring that potential all the time. Our platform harnesses the latest advancements in AI and machine learning (ML) to help contact centers unlock valuable insights from customer data….
Read moreRevolutionizing customer insights: From surveys to actionable intelligence
Customer service and support (CS) leaders face mounting challenges in capturing actionable insights about the customer experience (CX). While 94% of CS organizations use customer surveys as part of their voice of the customer (VoC) programs, Gartner research reveals that surveys bring less value than alternative feedback methods. In light of these findings and…
Read moreWhat are predictive metrics and how can they be used in QA?
The contact center is now at a pivotal point. It’s evolving into a dynamic hub of innovation, personalization, and customer intelligence thanks to advanced reporting, automation, and predictive metrics. But predictive metrics aren’t just transforming the way businesses measure performance – they’re also influencing the fundamental role of contact centers. In this blog, we explore…
Read moreArtificial intelligence for call centers: A guide to enhancing the customer experience
Customer service is changing, and artificial intelligence (AI) is at the forefront of this transformation. As competition intensifies, businesses are increasingly turning to AI to reshape how their call centers function. Their goals? Improve efficiency, cut costs, and most importantly, enhance customer experiences. What does AI in call centers mean? AI in call centers involves the…
Read more