We are able to build a rapport and assess the problem when we speak to someone face-to-face in a traditional environment. Behavioral detection is what is used to describe this. While today’s customers, employees, and the majority of people across the world are more at ease than ever using telephone and internet communications in place of face-to-face contacts. It takes a lot longer to access and comprehend the underlying meaning and acceptance behind the words, and to a certain extent, the true feelings are even lost, making it very difficult to engage in this element through virtual or distant contacts. To get around this and assist in making better judgments, voice analytics may be employed and might even be required
Numerous well-known and established applications exist for sentiment analysis but predominantly they focus either on the spoken words or the voice modulation (powered by AI) for depicting such emotions. Although such measurement can provide an intrusive analysis of the speaker however can be still confirm that the sentiments captures were the actual emotions felt by the speaker?
TechnoDecibel brings a non-intrusive method for understanding the intent rather than the content for deriving the underlined emotions behind each spoken word! An illustration of how an “emotion analysis” like this may be used to contact centre and customer support operations with an overview here. Voice analytics are being used to educate customer support representatives to respond to inquiries or underlying concerns from customers more quickly. This is a really intriguing piece of technology that can recognize unintentional alterations in voice biomarkers and identify emotional responses, such as high stress, indifference, excitement, engagement, key-points etc. All of these real-time displays of emotion can assist the agents in moderating each customer interaction and helps in understanding the real emotions felt by the customer.
The Emotional Detection Platform, on the other hand, keeps track of an agent’s emotional state over time and advises managers on different personal and work-related KPIs that need to be addressed. The solution is powered by AI, which also shows a variety of agent characteristics and directs management with regard to the need for process changes and training that adheres to the company’s fundamental values.
It would be fantastic to use this technology and its applications in order to promote the company’s values and the open communication between consumers, staff members, and all parties concerned
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