Why is onboarding your new employees with Time Machine more effective than other methods?

Time Machine is superior to traditional onboarding methods because it is based on a DARPA project where cadets were trained at an individual level. We have enhanced this approach by adding personalization and incorporating game-based social learning powered by generative AI. This results in vastly more effective individualized and personalized onboarding.

What is the difference between individualized and personalized onboarding?

While “individualized” and “personalized” are often used interchangeably, they have distinct meanings in the context of employee onboarding and continuous education.

• Individualized Onboarding: Tailors content and learning experiences to meet the specific needs, pace, and preferences of an individual. The focus is on adapting to the learner’s current knowledge and skill level. For example, if a new hire has prior experience with a certain tool, their training in that area might be shorter or more advanced compared to someone entirely new to it. It’s about customizing the depth and breadth of training according to each employee’s unique requirements.
• Personalized Onboarding: Delivers content that aligns with the learner’s preferences and choices, such as learning style, format, and topics of interest. It’s about curating the experience to match how the employee prefers to learn. For instance, if an employee prefers visual aids or video-based tutorials over text-heavy manuals, the training is delivered in that format. Personalization optimizes the learning experience based on the employee’s preferences, without necessarily altering the content itself.