Making Sense of Statistical Process Control October 21, 2026 •3:00 PM UTC

Statistical Process Control is one of the most useful methods for understanding how a process behaves over time, and it can also be surprisingly difficult to get right.

In this webinar, Kevin Keller will provide an hour-long introduction to Statistical Process Control, using practical examples to show how control charts help you monitor process performance, distinguish meaningful signals from routine variation, and make better decisions about when a process actually needs your attention.

Along the way, Kevin will challenge some common myths, assumptions, and rules of thumb about SPC that can lead to misinterpreting what your data is telling you.

What You’ll Learn

By the end of the session, you’ll be better prepared to:

• Understand what SPC is actually designed to tell you
• Recognize the difference between common cause and special cause variation
• Use control charts to monitor process behavior without overreacting to normal variation
• Avoid common misconceptions that lead to incorrect conclusions
• Apply SPC more confidently in process environments