Category

Efficiency
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....
Feelingstream - Why analyse customer feedback

Customer feedback analysis with AI text analytics

Why should you analyse customer feedback? When it comes to customer feedback, there are various forms that may be collected and analysed. The most common ones are NPS (Net Promoter Score) and CSAT (Customer Satisfaction Score). For companies selling various products, product feedback and reviews are also very relevant.  Collecting feedback is not too complex; the...
Feelingstream - How to solve a business problem

How can conversational analytics assist you in solving business problem?

A skill that is valued across all professions and industries is the ability to identify the root cause of a difficult business problem and then solve it. But not everyone is born with the talent for problem-solving. In fact, becoming an expert problem solver could be really challenging. However, just like any other skill, problem...
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...
what are actionable insights and how to find them

What are actionable insights, and how do we find them in customer feedback?

The process of moving from data to actionable insights is not a path that is always easy to walk. It's one that is important still.
Ultimate guide to efficiency with AI

The Ultimate Guide to Efficiency with AI

What is efficiency? When we at Feelingstream think about efficiency, we think about efficient businesses.   Tony Robbins says this on his website: “Business efficiency means maximizing your outputs from your given inputs – or making the most of your resources. If you haven’t thought about how to improve efficiency in a business, you may well...
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...
Save up to 10% of costs by reducing your repetitive calls

Save up to 10% of costs by reducing your repetitive calls

When you analyze customer service calls, it is common knowledge that some customers call back multiple times per day. Our practice has shown that 10% of all contacts are repetitive calls. Some of those calls are inevitable, some could be avoided. Most companies measure their First Call Resolution. However, they may not be aware of the...
Silence in customer service calls

What can silence tell us about customer service calls?

In this post, we’ll introduce what silence means in customer service calls, why it’s important to draw attention to it, and how a customer conversation analytics platform can help you measure silence, identify the causes, and learn from it. All for a more efficient and customer-friendly result.  What does silence in customer service calls actually...
Automated topic detection for better business

Automated call topics detection can lead to better business

Some people may fear that artificial intelligence is becoming increasingly dominant and will start taking away jobs, leaving people unemployed. What we can focus on is looking at which jobs AI could actually do better. This would leave more time for humans to focus on their strengths. This includes giving way to automated call topics....
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