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 Hong
School of Computer Science
Carnegie Mellon University
yhong3@andrew.cmu.edu