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