When Nielsen took on the task of investing in a learning ecosystem, the team wanted to do more than just launch it; they also wanted to know whether it was effective. But how would they measure the success of this new approach? User research told them the key was that people wanted to find what they needed quickly, and if they didn’t know what they needed, the system should direct them to the right content. So with the metric of success decided, the next challenge was how to measure it.

In this case study session, you’ll learn how to measure the success of any learning ecosystem through Nielsen’s journey. You’ll find out more about how the team tracked the results they were aiming for through “speed to relevance”—a metric that measures the time it takes a user to find relevant learning content. You’ll uncover how this metric was calculated automatically by the system, as well as what it told the team about their learning ecosystem. You’ll also learn about solutions Nielsen put in place to improve the average speed to relevance by 70 percent.

In this session, you will learn:

• Techniques for improving the usability of a learning ecosystem
• How to use the “speed to relevance” metric to measure the success of the learning ecosystem
• How Nielsen improved its average speed to relevance by 70 percent
• How to create the speed to relevance metric

Audience:
Intermediate to advanced designers, developers, managers, directors, and senior leaders (VP, CLO, executive, etc.).

Technology discussed in this session:
Learning ecosystem.