Highlights
Completion may be one of the most misleading signals in learning. What looks like success on paper can hide a much more important question.- The metric that matters most may be the one you cannot measure at the end of the session. Alex explains why the real evidence often shows up later.
- AI may solve one of training's oldest problems, but not in the way most people expect. Its biggest value may have less to do with replacing people and more to do with what happens between learning and performance.
“Training that scores well on a feedback survey can still fail to change a single behavior on the job.”
About the guest
Alex Mozes spent more than two decades building learning products before founding Gravity Learning, including a run at Udemy that started as employee number 15 and carried through the platform's growth into a service used by tens of millions of learners worldwide.
At Gravity Learning, he applies research from cognitive science to manager and leadership training, with a specific focus on making sure new skills survive past the training room and show up in how people actually lead their teams.
See how we measure what actually sticks.
We check in at thirty and ninety days, long after the standard post-training survey has already closed.
Explore the Gravity workshop: "Measure Learning and PROVE Effectiveness"
