This document provides an overview of eye tracking and tips for interpreting eye tracking studies. It discusses that eye tracking data alone does not determine if users like or understand something, and must be paired with other data. Qualitative eye tracking involves a small sample size and relies on the researcher's expertise, while quantitative is more scientific but still open to misinterpretation. Key learnings are to approach eye tracking findings with healthy skepticism, understand the user tasks and sample, and remember that looking does not necessarily mean understanding without additional context.