Stop Sending Surveys! Discover True Customer Sentiment with Customer Conversations
For years, companies have relied on surveys to gauge how customers feel about their experiences, with platforms like Qualtrics and Medallia leading the charge. But let’s face it—surveys are flawed. Response rates are low, feedback is delayed, and they often capture only a sliver of the customer base.
Webinar: How Calendly drives better customer interactions, quality & insight
Customer Experience leaders are caught between two tough choices. On the one hand, they must have a plan to adopt and incorporate AI into their operations to gain insight and efficiency. On the other hand, it’s more difficult than ever to separate AI hype from reality, so there’s a risk of a wrong and costly decision.
Why You Need Data For Predicting Customer Behavior
Being able to predict consumer behavior means you can continuously improve your business and product to drive customer satisfaction, loyalty, and retention. These factors are crucial if you want to grow your business and boost your revenue. So, how do you predict customer behavior? With the right data.
Should you hire a QA Specialist or a Quality Intelligence Analyst?
Quality Intelligence (QI) is the new term to describe the convergence of Quality Assurance (QA) and Voice of the Customer (VOC) programs. But rather than just another acronym, it’s a new way of thinking about how you measure and improve your customer service program.
Job Description: Do you need a Quality Assurance Analyst or Quality Intelligence Analyst?
Organizations are realizing the limitations of traditional Quality Assurance (QA). While QA programs tell you where agents need help, the lack of focus on actual customers doesn’t justify the amount of time and effort that goes into these programs.
Webinar: From Quality Assurance to Quality Intelligence
It’s important for customer service organizations to understand how well they are serving customers. Quality Assurance (QA) and Voice of the Customer (VOC) processes attempt to do this using two distinct methods. But between gaps in the way data is collected and the limited scope of assessment, the results aren’t that useful. Industry analysts see the convergence of these two categories along with the use of AI as the logical next step