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Peak Support: Voice of the Customer Analytics: Using AI to supercharge your contact center's QA program

  • Collaborator
  • Jun 3, 2024
  • 1 min read

Updated: Sep 16

How indirect AI makes your QA and customer feedback routines smarter, faster, and more powerful.


Smiling couple looks at phone while shopping. She wears a yellow coat; both hold bags. Background features blurred building. Framed edges.

Everyone is rushing to adopt AI as part of their customer service toolbox.


In some cases, it can feel like a mad scramble — like a modern day gold rush that you need to be a part of (or else!). But rushing to roll out new implementations of AI in customer service brings serious risks to your business.


Do you really want to roll the dice on the experience you’re giving your customers?


Instead of jumping right into launching a chatbot or rolling out customer-facing artificial intelligence, you should consider starting with an indirect implementation.


There’s no better way to do this than with your Voice of the Customer (VoC) analytics and QA program — two customer experience functions that used to be separated, but are blending together and evolving due to improvements in AI.




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