We work a lot with customer insights, and previously it was difficult to determine how big of a problem something one of our users wrote us was and if a team should allocate time to fix this problem. But with Lang.ai we are now able to track how many tickets we've received on the issue within a certain period and set aside resources to fix it.
BK
Brian K.
Brian Kale is the Director of Customer Success at Novo. An advocate of the customer's voice, he's been helping companies better understand their customers by building better products for their needs.
What I like best about Lang is that it takes a lot of the guesswork out of an Agent's hands so they can quickly reply to a customer's request without needing to figure out what the request is first. Lang can automatically apply contact tags, route tickets, automate first responses (or more), and even automatically tell the agent what the best practice is for a resolution by recommending language to use or SOPs.
Lang makes it easy for us to identify common trends amongst fans writing into our support queue, which helps us to identify the priority of escalations and how to address them, who requests should be assigned to based on category or sentiment, as well us provides us with information which allows us to address the issues at the core to prevent reoccurence.
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