
Understanding and counteracting this curve is critical for every trainer, instructional
designer, and L&D leader. By leveraging insights from the forgetting curve, and
adopting adaptive strategies like microlearning, spaced repetition, and personalized
learning pathways, trainers can ensure that knowledge doesn’t just pass through
learners—it stays with them and drives performance.
What Is the Forgetting Curve?
The forgetting curve is a visual representation of how information is lost over time
when there is no attempt to retain it. Ebbinghaus conducted memory experiments on
himself in the 1880s, using meaningless syllables to measure how quickly we forget
new information. His findings revealed a steep drop-off:
● Within 24 hours, learners forget about 70% of what they’ve learned.
● Within a week, up to 90% of the material can be lost without reinforcement.
This curve illustrates a harsh truth—human memory is fragile. But it also reveals a
powerful insight: with the right techniques, memory decay can be slowed or
even reversed.
Why the Forgetting Curve Matters to Trainers
Training professionals often invest heavily in developing and delivering learning
programs, but without reinforcement strategies, these efforts often lead to short-lived
retention. The forgetting curve is not just a theoretical construct; it has practical
implications in every training room and eLearning module.
Here’s why it’s crucial:
1. Training ROI Is at Risk
If learners forget what they’ve learned, your organization sees little to no
return on investment from training initiatives. Applying strategies to reinforce
memory ensures that training drives real, long-term behavioral change.
2. Learner Confidence Declines
Employees who forget their training may feel unprepared, which erodes
confidence, performance, and engagement. Combatting the forgetting curve
helps build competence and assurance.