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 QANew! Watch the video on YouTubeVisit this episode at https://www.qualityduringdesign.com/qdd/discrete-data-vs-continuous-data/ for additional graphics, transcripts, and links.Ready to apply this to your project?→ Schedule a free discovery call: Dianna's calendarWant insights like this?→ Subscribe to my newsletter: qualityduringdesign.substack.comLearn the full framework:→ Get the Book: Pierce the Design Fog ABOUT DIANNADianna Deeney is a quality advocate for product development with over 25 years of experience in manufacturing. She is president of Deeney Enterprises, LLC, which helps organizations and people improve engineering design.

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