These are painful customer experiences we can all relate to and top indicators of poor customer service according to Zendesk’s 2021 Customer Experience Trends Report. With 75% of people willing to spend more money on a brand that provides a great customer experience, companies now know that customer loyalty depends on delivering exceptional customer service. However, brands often go about trying to improve customer experience in the wrong way, despite their best intentions.

AI is transforming customer service, making it more convenient and personal by automating high-quality resolutions on consumers’ terms and empowering human agents to work smarter. The use cases for automated customer service seem endless, so we’ve pulled together the best opportunities for leveraging the power of artificial intelligence in customer service that we see today. How are our customers using automated support to rethink retail customer service?

Data analysis is critical for all employees, no matter what department or role you work in. Whether you’re a marketer analyzing the return on investment of your latest campaign or a product manager reviewing usage data, the ability to identify and explore trends and fluctuations in your data is an essential skill for decision-making. Unfortunately, many companies today struggle with data organization and analysis.

The June 2021 Release of OneDesk introduces a new App (in Beta) to centralize statistics about your tickets, tasks, and projects. We call this new app ‘Analytics’. Located under the ‘More Applications’ icon in the lower-left corner, the Analytics app brings together Reports and Activities, and introduces a new section called ‘Charts’. Here are some highlights of the new Charts app.

Having been at startups my entire career, I’ve encountered the dichotomy between speed and scale when building software products.The usual attitude entrepreneurs take when building the first iterations of their products is “...we aren’t anywhere close to facing problems of scale, so let’s worry about that when we get there.” This first version of the software is built and shipped fast, and it’s only a matter of time before engineers realize that they simply don&#8217