About SPC for Excel

SPC and Statistical Analysis Software Built for Excel

SPC for Excel is a statistical process control (SPC) software add-in that works directly inside Microsoft Excel.

Our focus is straightforward: provide reliable, easy-to-use statistical process control tools that help organizations monitor processes, analyze data, and improve performance.

Our Background

SPC for Excel was first developed in the early 1990s to address a common challenge: quality professionals needed robust statistical tools, but most solutions were either complex standalone systems or fragile spreadsheet templates.

SPC for Excel was built to combine statistical rigor with the familiarity of Excel. Over time, the software has expanded to include a comprehensive set of control charts, capability analysis, measurement system analysis, regression, hypothesis testing, and other statistical tools used in process improvement.

Today, SPC for Excel is used by more than 100,000 users worldwide. 

What We Do

We develop statistical process control software that:

  • Creates control charts correctly and consistently
  • Performs capability analysis
  • Conducts measurement system analysis (Gage R&R)
  • Supports regression and hypothesis testing
  • Reduces errors common in manual spreadsheet analysis

SPC for Excel is designed around the statistical methods most widely used in process improvement and Lean Six Sigma initiatives, emphasizing practical effectiveness rather than unnecessary complexity or rarely used features.

All tools are accessed directly from the Excel ribbon.

No separate application. No complex setup. No fragile templates.

Serving Organizations Worldwide

SPC for Excel is based in the United States and trusted by customers in more than 80 countries.

Our users represent a broad range of industries, including manufacturing, aerospace, automotive, healthcare, government, and service organizations. You can view a representative list of industries and organizations using SPC for Excel on our SPC customers and industries page.

They rely on SPC for Excel to maintain process control, support quality improvement initiatives, and make data-driven decisions with confidence.

Leadership, Education, and Ongoing Commitment

SPC for Excel was developed by Dr. William McNeese, whose work over more than three decades has helped shape the practical application of statistical process control and business process improvement.

Dr. McNeese holds a Ph.D. in Chemical Engineering, is the co-author of Statistical Methods for the Process Industries, holds multiple patents, and has published extensively on statistical methods and process improvement.

For more than 25 years, he has written monthly educational articles on the practical use of SPC. These articles, available in the SPC Knowledge Base, provide clear explanations and step-by-step examples using Excel to support real-world application.

SPC for Excel continues to evolve under that same foundation. The software is continuously updated to reflect customer feedback, evolving statistical standards, and advancements in Excel. While it is designed to be straightforward and self-explanatory, we remain available to answer questions and help ensure our customers apply SPC effectively within their organizations.

Evaluate SPC for Excel

Download a free trial and explore the full capabilities of SPC for Excel using your own data.

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