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finding actionable insights with feelingstream conversation analytics tool

Finding actionable insights with the Feelingstream conversation analytics tool

In a previous article, we wrote about the knowledge pyramid and moving through its layers with thought and data analysis to work towards finding actionable insights. In this article, we’d like to run you through another example of this process. We wish to make it clearer by using some demo data and the Feelingstream conversation...
How the Feelingstream conversation analytics tool can enhance your business and customer service

How the Feelingstream customer conversation analytics tool can enhance your business and customer service?

Most businesses find it very difficult to understand what their customers think of them. It is not plain and clear what the customer issues are. Therefore, finding data for making important business decisions is complicated. Managers often make decisions in the dark or based on their gut feelings. Decision making is easier by using conversation...
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...
Conversation analytics by Feelingstream

What is conversation analytics and why you should use it

For most businesses, it is very difficult to understand what their customers think of them. They may not know exactly what the customer issues are. Finding data for business decisions is therefore complicated. Managers make decisions either in the dark or based on gut feelings. For businesses that have daily customer interactions and customer service...
Feelingstream team dec 2022

Hello, 2022 – we are ready for you!

As December is coming to a close, it is time to step back and reflect a bit. 2022 is almost here, so we want to welcome the new year with new energy.  In this article, we will share some highlights of the year and the most popular articles from our blog. In addition to that, we want to...
Finnish speech to text accuracy

We are 25% more accurate in speech to text of customer service calls than Google in the Finnish language

In the speech to text and automated speech recognition world, the accuracy of transcribing English is reaching very high levels. The best voice recognition software can reportedly achieve accuracies around 95% (numbers could be even higher today). Google is definitely amongst the top transcribers in English (read more in this Leaddesk article).  The transcription accuracy is often...
New version of feelingstream

How Feelingstream’s new version and advanced features will enhance your work

When it comes to our software, we are always on the lookout for improvements for giving our users the best value.  We base any version update or upgrade on what our customers have wanted or needed to make their lives easier.  We want to provide the best user experience possible, so we constantly gather feedback...
How do customers speak in different customer service channels

How do customers speak in different customer service channels?

Our speech to text solution makes customer calls searchable in text format. But this new kind of customer insight calls for a new way of thinking.

More visibility during remote working adds up to better business decisions

Remote work means that managers work from home. The customer service team that is serving customers is either working from home or in a safe work environment. This new situation that the managers find themselves in demands for more visibility tools. They can help, guide or make decisions about efficiency, customer satisfaction or value increase....
European Data Incubator win Feelingstream

Feelingstream won the European Data Incubator Program: Solving the chatbot visibility problem

Feelingstream won the EDI (European Data Incubator) Program. During the last 8 months, our team had only one focus – to build an MVP for our data provider Telia. The MVP consisted of chatbot analytics and automatic reactions to various calls and chats based on our customer interaction analytics AI. Here are our reflections on...
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