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.

Send us a message

If your team is still catching problems too late — let's talk.
→ Schedule a free discovery call: Dianna's calendar

Get the full framework.
→ Pierce the Design Fog 

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.