Once we've decided to control something (think of our prevention and detection controls), we then need to decide how to measure it. Different controls may need different measuring requirements, which can give us discrete or continuous data. We treat these data types differently when collecting it, determining sample sizes, and analyzing it for results. Tune-in to learn more about how to take the next step in defining controls: figuring out how to measure it and considering the data.

Another QDD episode you might like:
Designing Specs for QA

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Visit this episode at https://www.qualityduringdesign.com/qdd/discrete-data-vs-continuous-data/ for additional graphics, transcripts, and links.

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ABOUT DIANNA
 Dianna Deeney is a product development process strategist with over 25 years of experience in regulated industries. She is president of Deeney Enterprises, LLC, where she helps product development teams make better decisions upstream — before costly design mistakes get built in.