Data Analysis
Once the speech recognition is complete, additional analytics technology makes a thorough analysis of the conversation content possible. For example, the transcribed text can be searched for predetermined keywords or phrases.
On top of that, the speech and voice analytics software can collect meta-information about each conversation such as call duration and response speed.
Going beyond the conversation basics, some programs can also incorporate voice analytics technology and scrutinize voice tonality. By evaluating the audio patterns, they can draw conclusions about the emotional context of the customer-agent interactions.
All the collected statistical and analytical data hong kong telegram data can be further presented in a convenient table format or visualized through graphics and charts. Comprehensible by any person, the findings of the speech analytics program can be immediately put to work in a business setting.
This way, words said by a customer over .
The phone are transformed into valuable enterprise findings: it’s one of the major benefits of speech recognition technology.
The collected data gives companies actionable matching landing pages to ads insights into the customers’ interests, preferences, feelings, and intentions, providing an opportunity to learn not only about what clients say but also how and why.Share on X
Gaining Control of Customer Engagements
What if every customer could deal with your single most effective sales or service person?
If your organization is planning on getting a speech analytics tool for your front office, consider conducting thorough research prior to making a concrete purchase. This will give you an opportunity to identify the right solution that is ideal for achieving your business goals.
Not to get lost in the sheer number of options aub directory available in the market keep in mind 5 main questions while assessing the quality of the offered speech analytics product.
1. Does the Solution Offer Real-Time Speech Recognition?
Real-time processing of speech is an important feature of any speech-to-text transcription and analytics service. Having recognized predefined keywords in real-time conversations, the service displays the relevant information on the agent’s desk, successfully guiding him or her through an uneasy or important talk with a customer.
Due to the use of scripts and knowledge bases inbuilt in speech analytics software, a front office or call center can achieve higher first-call resolution and an increased level of sales.
It is certainly possible with most of the speech recognition and analytics services to review call transcripts after the conversations have already taken place.
But the output will be more meaningful if an issue is appropriately addressed while the speakers are still on the phone and not once a customer has already hung up and chosen a competitor’s product.
Overall, the implementation of the real-time speech recognition and analytics software helps companies ensure clients’ satisfaction and in the long term minimize their attrition.