The Heinz XR Lab tracks key data points from device lending and usage to improve both operational efficiency and user experience.

We collect:

• Device check-out and return records (frequency, timeliness, late returns)

• Equipment condition reports (wear, maintenance needs, damages)

• User survey responses (courses, applications, satisfaction feedback)

• Usage trends by program or course(courses vs projects)

We analyze:

• Borrowing frequency and peak demand periods

• Late return patterns and resource bottlenecks

• Device adoption across different programs and courses

• Correlations between survey feedback and lab usage

We use these insights to:

• Optimize scheduling and headset availability

• Improve device maintenance and lifecycle management

• Identify high-demand use cases for better resource allocation

• Enhance student learning experiences through targeted support