In today’s digitally-driven world, organizations are putting their best foot forward to better comprehend, tote up, and respond to their customer-base with a clear intent to proliferate their brand presence and augment their sales stream. For this, they have started using the science of speech analytics to gain quick insight into customer interactions, technical glitches, fraudulent calls, and even to identify behavioral trends.
Up until relatively off late, for many – technology (computers) appositely comprehending the customers’ sentiments was an ‘out-of-the-box’ philosophy. The journey began with the automated menus that asserted callers’ to press the selected keys, and every so often ends up with – sorry, this input is not valid, please try it again. A sigh of relief for most as this haphazard and irksome practice has plunged into a “more refined” notion. And the good news is, it is bestowed with an array of newer capabilities that can easily replicate what we human beings can do. Typically, a speech analytics software encompasses an acoustic model, grammars, a language model and recognition algorithms.
Not to mention, by combining big data techniques with voice analysis, companies can promptly analyze the huge amount of call data to learn about their strengths and weaknesses. In this light, call center service providers equipped with speech analytics capability cannot only fathom, translate speech into text but also can gauge customer stress and appeasement levels.
This article attempts to highlight the significance of speech analytics software in today’s business landscape:
Opening/Closing Scripts: It enables to determine the preeminent ways that call center agents should adhere to and report if the set protocols are not being satiated at the agent’s end. In addition to this, it suggests the words and phrases that agents should not say while interacting with the customer.
Customer Satisfaction/Dissatisfaction: Here comes the power of speech analytics, which allows organizations to track customer satisfaction level. The role of data scientists shares the frame who apply their intelligence and specify word and phrases that express customer satisfaction/dissatisfaction level.
Agent Performance: Are your agents giving their 100% to address your customer queries/feedbacks? Maybe? Not Sure? Don’t panic! Again, this is one of the incredible attributes, which speech analytics software are ingrained with. It allows you to keep a check on your agents’ performance and analyze what they are up to. This, in turn, will help you to make a better strategy that complements your customers’ satisfaction criteria in a coherent manner.
Note: The benefits of a speech analytics platform do not end here. However, I will elucidate the other beneficial aspects in my next post. Keep reading!
The Bottom-line – Speech analytics can help enhance the efficiency of call centers by providing quick insights, which, in turn, reduces average call handling time, boosts first call resolution, ensures customer satisfaction, and curtails customer churn by predicting at-risk customers.