In this episode we review sampling for design tests. We talk through a generic thought process for choosing a statistically relevant sample size and propose some basics that we can all learn about to better understand sampling.Our goal is for us to be able to better talk through a sampling scenario with our quality and reliability engineering friends, and to better prepare for the information that they're going to want to know when asked, "How many do we need to test?"Visit the podcast blog for a transcript and more.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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