When you talk about your business’s customer experience, it’s easy to get caught up in the bigger picture of what you want to achieve. Meaning, it’s easy to just imagine the ideal experience you want your customers to have, but not actually focus on what will help you achieve this.

When calling a business, people want their issue to be resolved quickly. A recent survey from Clutch found that nearly 8 of 10 people consider an “efficient resolution to their issue” to be one of the three most important traits they value when calling a business. Despite the rise of chatbots and text support, telephone customer support is still critical. People value speed and availability, but some calls still require a human touch.

Every company has its own unique audience — and should have a unique approach to customer engagement to match. After all, when it comes to creating great customer experiences and achieving high levels of satisfaction, there’s no one-size-fits-all approach that’s guaranteed to work for every brand.

Onboarding new people at a company can be a challenge. As a leader, you need to create a process that gives a new hire the ability to understand your team’s unique workflow and goals, and also ensure that they are fully equipped to start working and secure their first wins. These few months are so critical for a new employee, and they can be especially hard if you are working in a remote team.

Gather round people: we’ve got a brand new design, we’ve got dramatically improved encryption UX, we’ve got new login, new settings, new room list and we’ve got dozens and dozens of stability and performance enhancements! That’s right: it fillets, it chops, it dices, slices! We’re out of beta: it’s Riot 1.0.

Measuring and analyzing your customer support team’s performance can be challenging. The quality of an interaction between two people is subjective, and given that customer interactions are ultimately what make up the majority of a support team’s work, standard metrics like costs and returns aren’t often the best way to gauge and improve quality.

In the past few years, companies have become significantly more interdependent—users share passwords, and systems use backend technologies operated by third parties. So when hackers breach a company’s security, they often gain access to a wider set of services and information than initially expected.

Artificial intelligence, or AI, has been a hot topic within the customer support community recently and there are many good reasons for that. By using AI intelligently (no pun intended) support teams can be more efficient and effective, and create a better experience for customers, all without sacrificing quality.

A whole lot of data comes out of support interactions, enough so that astute support leaders can pull insights, discover trends, and improve how their business serves customers. While the data may only suggest what’s going on with your customers and agents, it’s important to be able to spot trends quickly.

Imagine the benefit your business could achieve if every customer interaction was intelligent? Artificially intelligent? Yes. The era of Artificial Intelligence (AI) has dawned upon us. From personal assistants on our smartphones to bring the keyword at boardroom meetings, AI is now ubiquitous.. But, what makes AI a beeline for personalized customer support?