July 05, 2022
Webinar - Chatbot Testing Valuable Across All Industries
By Greg Tavarez, TMCnet Editor
In today’s digital age, chatbots are seen across all industries. Visit a bank, cable company, wireless provider or even hospital website, and a chatbot will appear on the homepage prompting a conversation to help the consumer solve their problem.
The software application conducts online conversations without the need to make contact with a human agent. The end goal is improving the customer experience to help ensure customer retention and loyalty, while allowing them to use self service tools, which the majority of customers prefer today.
But, while chatbot use is growing, they are far from perfect. A CDP.com report found that only a third of U.S. adults find AI chatbots helpful while 43% said there is room for improvement.
Chatbots need to be trained and tested to better understand customer intent if they are to be truly beneficial and deliver exceptional experiences. For example, if a customer wanted to return a product, a human agent could easily assist them and find a solution right away. A chatbot, however, can find that process difficult if they are not familiar with the input provided by the customer.
Humans will always have new ways to express what they need, so it is vital to automate the testing of your chatbot technology to learn and adapt to meet the needs of customers.
But how can one get the most out of chatbot testing?
Join Christoph Börner, senior director, digital, Cyara for a webinar titled “The Value of Automated Chatbot Testing” at 2:00 pm EDT July 27, 2022, where they will answer commonly asked questions about chatbot testing, including why bots fail, what should be tested, how to test most effectively and how to automate?
Attendees will learn how to deliver flawless chatbot experiences and maximize value by improving customer containment rates, reduce the risk of penalties by ensuring security compliance standards are always met and minimize time to deliver new and improved innovations to the chatbot.
Edited by Erik Linask