Do you hear a lot about learning data and analytics, but aren’t sure how to gather data, interpret it, and use it? I think this conversation with Megan Torrance will clarify things for you. In this episode, I give Megan a scenario and she walks through possible ways to collect data and use it to understand the impact of learning on an organization. Megan will show you how to make data come alive!

Megan is the author of important books in our field, including Data and Analytics for Instructional Designers and Agile for Instructional Designers. She is the Chief Energy Officer and founder of Torrance Learning, which helps organizations connect learning strategy to design, development, data, and ultimately performance.

WE DISCUSS:

How to define data and analytics
Why instructional designers need to know about data and analytics
Why departments may withhold data from learning design teams
Interesting examples of how learning data is being used
A scenario where Megan explains how to think about and frame a performance problem using a data measurement mindset
Types of dirty data
Finding the best timeline for measuring data
Pros and cons of self-reporting data
Collecting data on marketing campaigns for learning
Benefits of building and collaborating with your operational network
How to  build skills in learning data and analytics

TIME: 33 minutes

RESOURCES:

Data and Analytics for Instructional Designers by Megan Torrance.
Torrance Learning
xAPI Cohort
Measurement Demystified by David Vance and Peggy Parskey
How to Get Started with Data-Driven Learning Design: Podcast with Lori Niles-Hofmann