By

Anette Lehismets
Customer service optimisation with conversation analytics – redefining efficiency

Customer service optimisation with conversation analytics – redefining efficiency

Companies, no matter if large or small, always strive for efficiency and one way of doing that is via customer service optimisation. With the variety of customer service channels, we understand that every conversation can be a cost and an opportunity. Optimising how we speak to our customers and where we communicate with them can...

Sales growth with conversation analysis – capitalise on your sales potential 

Customer conversation analysis can hold a lot of knowledge and power. When it comes to revenue and sales growth, conversational analytics can make a significant difference by helping us understand how to sell, who to sell to, and when you need to put in effort for customer retention.   Generally, in today’s world, we have two...

Our pillars for success – ASR quality, platform usability, and data security 

Reflecting on the past few years, it is evident that we have remained steadfast in our commitment to enhancing our products and services, driven by specific goals tailored to meet the evolving needs of our customers. Feelingstream’s primary focus has been serving large enterprises, addressing critical concerns such as visibility into customer conversations, tool usability,...

17 conversation analysis use cases with different time frames 

Conversation analysis can provide valuable insights for companies across various time periods, ranging from real-time to historical data. Different time intervals support different use cases and can have a variety of benefits. One thing is clear – having data going back a few years will give you the most options.  With the ability to analyse...
Four steps of data masking to enable the entire company to analyse conversational data. - Feelingstream

Four steps of data masking to enable the entire company to analyse conversational data.

Data analysis must always consider privacy needs and regulations. Customer conversations with customer service hold quite a lot of personal data. Therefore, conversation analysis options may be quite limited unless technology is used for data masking or some other method of anonymisation.   Good quality data masking has been a must-have solution for a few of...
Data Security in Customer Conversations

How can data security help you maximise the value of your customer conversations?

The world is becoming more data and technology-focused with each passing year. The pace at which we’re moving in collecting data, using data, and developing AI models – is intense. Data security is key when moving to new technologies and ways of using the data.   Companies have already been getting used to GDPR and...
Automated call center quality assurance

The rise of automated call center quality assurance 

In our previous post we listed some reasons why manual call center quality assurance is a thing from the past. Call center analytics and using technology to make the most of the available data is where we are now moving to. Technological improvements have given rise to automated call quality grading systems. To analyse calls...
Feelingstream - manual call quality monitoring is in the past

Unlocking efficiency: Why manual call quality scoring is a thing of the past 

Efficiency is one of the core values of Feelingstream. It is critical to optimise operations and workflow no matter what size call centre you are in charge of. One area where efficiency can have a significant influence is call quality rating. The process of manual call quality scoring is inefficient, time-consuming, and difficult.    We discussed...
Data security for Feelingstream

What is data security for Feelingstream? 

When we discuss our priorities in Feelingstream, one thing is always clear. We obviously want to get new customers or develop the next feature. But what is always at the top of our list? Data security. Security for our customers. The data security for the customers of our customers. The security of our services. And...
Feelingstream - Journey from data collection to decision-making

6 Steps of Data Analysis

Data analysis and the use of customer conversations, in our opinion, are the future of empowered decision-making. Making informed business decisions requires having access to reliable sources of information, such as customer conversations. With the technology we have today, the boundaries of what we can learn from customer interactions are being pushed further and further....
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