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'Using AI to Track How Customers Feel — In Real Time' published in the Harvard Business Review

last modified May 13, 2021 01:06 PM
The paper 'Using AI to Track How Customers Feel — In Real Time' by Mohamed Zaki, Janet R. McColl-Kennedy and Andy Neely has been published in Harvard Business Review.

Summary

The most common methods of tracking customer sentiments has a big blind spot: They can’t pick up on important emotional responses. As a result, qualitative surveys, like Net Promoter Score, end up missing critically important feedback. Even if they provide a positive score, customers often reveal their true thoughts and feelings in the open-ended comment boxes typically provided at the end of surveys, and AI can help companies make use of this valuable data to better predict customer behavior. Specifically, there are six benefits for adopting AI to analyze this feedback: It can 1) show you what you’re missing in your qualitative surveys, 2) help train your employees based on what’s actually important to customers, 3) determine root causes of problems, 4) capture customers’ responses in real time, 5) spot and prevent declines in sales, and 6) prioritize actions to improve customer experience.

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'Using AI to Track How Customers Feel — In Real Time' published in the Harvard Business Review

May 13, 2021

The paper 'Using AI to Track How Customers Feel — In Real Time' by Mohamed Zaki, Janet R. McColl-Kennedy and Andy Neely has been published in Harvard Business Review.

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