video1.0<iframe src="https://www.loom.com/embed/68adce3f82e142c28e9831931b51c0db" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/68adce3f82e142c28e9831931b51c0db-99bae81244111806-full.jpg275.466667In this video, I discuss how our AI-driven study plan engine, PSP AI, optimized Raviyala's study journey from a GMAT score of 600 to 730 by focusing her efforts on the right subsections based on her strengths and weaknesses. Raviyala's verbal skills showed high ability in sentence correction and critical reasoning but needed improvement in reading comprehension, while her quant skills required significant work in both arithmetic and algebra geometry. In contrast, Aiyush, who started with a higher score of 670, needed to maintain his quant score and fine-tune his verbal skills, particularly in sentence correction and critical reasoning. I emphasize the importance of understanding precise starting abilities to tailor study plans effectively. I encourage viewers to leverage this AI-driven approach to enhance their GMAT scores and ensure they start at the right stage of learning.