Analyst Perspectives

A lot of conversations around contact centers deal with automation, particularly how to balance the way humans and automated systems work together. Self-service, the front end of the customer interaction, is where practitioners get a first taste of the marvels of increasingly advanced automation. As customer expectations ramped up and labor became more costly during the pandemic, deflecting interactions away from agents took on new urgency. We continue to see impressive advances in automated...

In a relatively short time, customer data platforms (CDPs) have become default components of the contact center tech stack. This is an important development for contact center practitioners because it reflects the fact that customer data is essential to maintaining productive customer relationships. It also provides an on-ramp for organizations to establish a sensible data strategy if they have not done so already.

Verint came to its Engage customer conference in June with the goal of changing the industry’s conversation around Contact Center as a Service (CCaaS). The industry commonly considers CCaaS to be equivalent to cloud-based voice routing, an old and perhaps outdated way of thinking about provisioning contact centers. Verint wants to flip the narrative: voice routing is not special enough anymore to warrant being the core around which buying decisions are made. In Verint’s telling, CCaaS is more...

Since acquiring InContact in 2016, NICE has moved far from its roots in call recording and contact center quality optimization. That acquisition birthed what was effectively a hybrid that married cloud contact center operations (CCaaS) with a focus on advanced customer experience (CX) analytics. NICE held its annual customer event, Interactions 2023, in June in New York, gathering end users to hear the company talk about its work in these areas and its efforts to use new AI technologies for CX.

The underlying idea behind trying to manage customer experiences is that of the journey: that customers follow a path through distinct stages, with different needs and modes of contact at each stage. The default mode for controlling experiences has long been to react to what the customer does and, to a great extent, build an enormous and costly infrastructure around having to wait for customers to decide to engage. Contact centers do a fine job of handling incoming communications, sorting them...

Zendesk held its customer conference – Relate – along with a session for industry analysts in May. Zendesk develops software primarily for customer service and support and automating aspects of the sales process through customer relationship management. The conference presented an opportunity for Zendesk to showcase several new technology developments that it hopes will solidify its position in the customer experience marketplace.

Artificial intelligence (AI) has become ubiquitous in discussions of contact center technology. Vendors are rushing to incorporate it into platforms and applications. And end users have understandably mixed feelings about where it makes sense to use and what its impacts will be. No one should be surprised that AI has arrived, especially for customer support: Software companies have been working on customer experience (CX)- -related AI applications for many years, and the fruits of those efforts...

Organizations are increasingly seeing the strategic benefits of enhanced customer engagement. But many are struggling to understand how to put a broader customer experience strategy into practice amid siloed processes and departments. Particularly in contact centers, new technology has to be melded onto existing platforms in ways that enhance experiences without disrupting operations.

Contact centers have long collected feedback from customers, usually through short surveys. It is very common for an agent or an automated system to ask for an assessment of the interaction that just occurred, hoping to get the customer's candid, instant view of whether they were satisfied. For the most part, what's learned in those short engagements is very narrow. It can be used for a customer satisfaction snapshot, and it can be used to find out if a particular agent is running into trouble....

Organizations looking to improve the customer experience and contact center operations should closely examine the processes at work in the front-end self-service environment. Technology advancements are converging at this gateway, including artificial intelligence, chatbots and knowledge management. The front end of the customer interaction offers a greater opportunity for customer engagement than most organizations realize.