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8 Keys to Better VoC Methodology

ClearAction

8 Keys to Better VoC Methodology Lynn Hunsaker VoC methodology is the starting point for buy-in and enthusiasm around customer insights. Start there and continue here in designing your VoC methodology: 9. Better VoC Methodology: Instead, use common sense and technology to evaluate every transaction. Common sense?

VOC 48
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Transforming the Customer Experience with Big Data

CX Journey

Data Sources Any initiative to improve the customer experience will be unsuccessful without understanding the customer and his needs. To do that, we must have the right data at our fingertips. What is the right data? Analysis takes many forms because there will be many different types of data to make sense of.

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Workforce Optimization Ushers in the Real-Time Contact Center

DMG Consulting

Interaction analytics has become an increasingly important source of data for customer journey mapping because it provides a multidimensional view of the customer experience. Another emerging strategy for managing a personalized customer experience is the use of predictive analytics.

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Artificial Intelligence in CX Learning

ClearAction

Instead of asking mundane things already captured , use data-mining (machine learning / AI) to bring those basics to managers’ attention, and focus your energy on acting on that rather than collecting yet more redundant data in this overwhelming information age. You already know what ticks off customers.

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Customer Service is a Value Center (NOT a Cost/Profit Center!)

ClearAction

It collects an abundance of customer insights that are more valuable than the VoC you pay so much for! A customer’s experience includes a lot that is beyond touchpoints. Your AI/ML/big data is grossly incomplete without mining Customer Service calls. It stems the tide of negative word-of-mouth.