In our prior posts, we defined three categories of learning analytics. Now, it's time for one last "bonus" category—learning operations analytics.
We've already defined three categories of learning analytics:
- Learning experience analytics, which answer questions about specific learning activities
- Learner analytics, which answer questions about a specific person or group of people engaged in learning activities
- Learning program analytics, which answer questions about an overall learning program’s impact on the organization
These categories all look at the “finished product" and seek to understand learning as it's happening. Mostly, these analytics seek to quantify the benefit of learning (or lack thereof).
Bonus Category: Learning Operations Analytics
Learning operations analytics, on the other hand, seek to understand more about the costs of learning. These analytics seek insights into the production and efficiency of the team creating learning programs and experiences, such as:
- How long does it take to produce one hour of e-learning?
- How proficient are my staff members in meeting production deadlines?
- What are the utilization rates of my instructors?
- How quickly do we react to organizational needs?
For many, establishing the return on investment (ROI) of a learning program can be the holy grail of learning analytics. ROI requires quantification of both the costs and the benefits. Once those are established, learning operations analytics become a powerful tool to use in optimizing the ROI of a learning program or department.
Up Next: Learning Analytics Wrap-Up
Our next post will officially wrap up our Learning Analytics series, which we hope you've enjoyed! Stay tuned for our spring series that kicks off later this month. Don't want to miss out? Subscribe to Watershed Insights to receive L&D industry updates, helpful advice, and more!
Getting Started Is Easy
As you can see, performance analytics open a world of insights and data-driven decision capabilities. And the possibilities for what you can measure and evaluate about your learning programs is nearly endless. Remember, getting started is easier than you think. Even just a few data points can yield powerful results. Use the following guide to help you get started right now!