Mastering Data Quality in Eye Tracking Research with Blickshift Analytics

As specialists in eye tracking research, we understand that the foundation of groundbreaking research lies in the quality of your data.

That’s why we’re thrilled to introduce our latest tutorial series, designed to help you master the challenges of an eye tracking analysis.

Watch as we explore:

⌲ Identifying and addressing gaps and inconsistencies in data recording
⌲ Practical tips for ensuring the highest data quality before moving into deeper analysis

These three first steps of a data quality check help you prevent “garbage in – garbage out” and ensures that you can trust your data and focus on what truly matters – insightful discoveries!

You can watch the first tutorial of this new series in our YouTube channel here: https://www.youtube.com/watch?v=2cUiJSXR5ZA