Active Learning Feedback- learners engage with content by providing feedback, asking questions, commenting, or pointing out errors.
This serves several purposes; it leverages the collective intelligence of your employees to weed out defective content, and also highlights areas of confusion for which additional instruction is needed.

Spaced repetition- Our Scientifically designed algorithm beats the forgetting curve by repeating the learning content and spacing it out over a period of time.

Adaptive Delivery- Our data-driven algorithm delivers learning that is personalized to an individual’s learning capacity.

Verifiable leaning growth-  Organizations can make data-driven decisions to ensure that their learning programs effectively achieve organizational goals.