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CX Prioritization Guidebook

Use the techniques in this guidebook to get everyone aligned and active on the initiatives that are most impactful.

[LinkedIn Learning] Customer Experience: Journey Mapping

Certified Customer Experience Professional (CCXP) Jeannie Walters shows how to set up a customer journey mapping program for success, introduces tools and techniques to execute the journey mapping process, and explains how to go deeper to test your understanding and take action.

3 Customer Experience Ideas for 2022

It’s time to wrap up another year. 2021 was another strange, unpredictable, not-quite-back-to-normal trip. When it came to customer experience, leaders dealt with all sorts of changes and challenges. The introduction of vaccines led to

How to be a Change Agent at Your Organization

What Does a Customer Experience Professional Do? Customer experience professionals have many different titles and many different job descriptions. There are CX leaders who focus primarily on customer insights, like Voice of the Customer programs.

How to Run an Effective Customer Experience Team Meeting

Cross-functional leadership is a key factor in leading any customer experience program. This often means creating a team of leaders who regularly meet to discuss priorities, resources and accountabilities that drive CX forward. These teams

[LinkedIn Learning] Creating a Positive Customer Experience

In this course, customer experience expert Jeannie Walters walks you through creating a positive customer experience. Jeannie explains how to understand your customer’s end-to-end experience, or customer journey, and goes over the steps to build an effective customer experience strategy.

Create Your CX Charter with These 6 Questions

Customer experience (CX) programs often begin with an idea and a dash of sincere enthusiasm…and little else. To arrive at real outcomes, CX programs depend on cross-functional leadership to turn words and ideas into actions.

What Customers Want Next: How to Find & Act on CX Clues

Human behavior is notoriously difficult to predict. Sophisticated modeling and massive data analysis can help, but these are typically based on past behavior. Past behavior might be helpful for predicting future successes, but what if