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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?
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.
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.
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.
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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