Call for Participants: Interview Study on Monitoring ML Applications

TL;DR: We are researchers from Carnegie Mellon University studying practices and challenges in MLOps, particularly interested in how engineers design and maintain monitors in software/applications that include ML components. We’d love to learn from your experiences through a one-on-one interview.

👉 Sign up here (5 min) and we will schedule your session (Zoom, 30-60 min)

We are researchers from Carnegie Mellon University studying how practitioners design and maintain monitors in software systems that include machine learning (ML) components. We’d love to learn from your experiences through a one-on-one interview.

What to Expect

1. Sign-up Survey (~5min):
   • Includes a consent form and questions about your background.
2. Interview (30~60min, depending on your availability):
   • Topics Covered:
     • General practices in building and maintaining monitors (10–15 min)
     • Discussion of example monitor designs (20–40 min)
   • Audio (not video) will be recorded
   • All information will be kept confidential and anonymized

Who Can Participate

• Age 18+
• Have experience working on monitors for software systems or applications with ML component (We’ll discuss your experience, but no confidential information is required)
• Would communicate in English

What You’ll Get

• A chance to share your insights and contribute to research aimed at improving ML systems

Ready to participate? Complete the sign-up survey and we will schedule your session!

Have questions? We’d love to hear from you. Your insights are greatly appreciated!

Yining and Nadia
School of Computer Science
Carnegie Mellon University
yhong3@andrew.cmu.edu