CAPTCHAs are an important security tool for preventing automated attacks against online systems. However, they can be an undesirable source of friction in the user experience. In this poster, we propose a novel approach to dynamically improve the CAPTCHA experience for users by individually learning which types of CAPTCHA tests each user is best at solving and adapting future tests presented based on this knowledge.