• Navigating the unique challenges and strategies of assessing and deciphering user behavior and data in task-oriented training simulations 
• The extensive array of methods and tools available for capturing and scrutinizing user data in simulations, including eye tracking, position tracking, biometric sensors, and performance heat maps
• Exploring the critical role of data-driven insights  in refining learning outcomes, enhancing tasks completion efficiency, and bolstering safety measures 
• The significance of levering these insights to not optimize your training environments for success but also to foster an accelerated and improved learning process for complex tasks. 

The industrial metaverse is here and a paradigm shift from 2D to 3D is happening. Users are moving from content consumption in web and mobile towards content participation in 3D immersive experiences. 

3D apps are exponentially more personal and behavioral. Providing users with agency to actively engage with experience. Traditional web & mobile analytics tools are insufficient with this new dimension, there are greenfield opportunities for new metrics in understanding human behavior.