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MSA for Discrete Data is an experiment designed to assess various elements of discrete or attribute data collection including the definition of the “standard” or reference, i.e. “good,” “pass,” or “fail” and whether or not the operators interpret the standard the same way. These tests determine the level of defects and variation within the data collection process itself.

For a better understanding of the MSA – Discrete Data, check out our Black Belt Training & Certification Course!

Elisabeth Swan

Elisabeth is a Managing Partner & Executive Advisor at For over 25 years, she's helped leading organizations like Amazon, Charles Schwab and Starwood Hotels & Resorts build problem-solving muscles with Lean Six Sigma to achieve their goals.

Tracy O'Rourke

Tracy is a Managing Partner & Executive Advisor at She is also a Lean Six Sigma Green Belt Instructor at University of California San Diego and teaches in San Diego State University’s Lean Enterprise Program. For almost 20 years, she has helped leading organizations like Washington State, Charles Schwab and GE build problem-solving muscles.