*This post was updated on 11/27/2017
In our recent webinar with Training Industry, Sandi Lin, Skilljar’s founder and CEO and Linda Schwaber-Cohen, Head of Training at Skilljar, shared some best practices in data-driven customer training strategies. In case you missed it, there’s a recording of the full webinar here.
For your convenience, we’ve also included a few key takeaways below:
There may be different cadences, depending on what you’re analyzing. However, data should always be part of your regular workflow. For customer training, there are a few different types of metrics. At Skilljar, we think of customer training data in three large buckets:
1. Business Level Data
Business level data is often presented to training leadership and executives in your organization. The purpose of this type of data is to understand the impact your training program has on customers.
Measuring Training ROI
To measure the ROI of your program, consider your program maintenance, strategic decision making, and growth & resource management. Some questions to ask include:
Keep these points in mind when you’re evaluating your data. Not only will it help you cater to different audiences, but it’ll also help you gain a solid understanding of what you need to investigate and why. In addition, consider the impact your program has on key business metrics:
This allows you to use data to determine what content is needed. Besides that, content level data can also help you to identify the characteristics of a healthy customer. By revisiting your data around product usage, you can ask, “Does my content address certain behaviors that are common for my ‘healthy’ customers?”
Key Takeaways