Do you hear a lot about learning data and analytics for instructional design, 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 in general
* Importance of data and analytics data and analytics for instructional design
* 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

TRANSCRIPT: [Download not found]

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