How many do we need to test?
Quality during Design
English - October 13, 2021 18:00 - 15 minutes - 10.4 MBBusiness engineering design engineer quality reliability product development Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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.
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About me
Dianna Deeney helps product designers work with their cross-functional team to reduce concept design time and increase product success, using quality and reliability methods.
She consults with businesses to incorporate quality within their product development processes. She also coaches individuals in using Quality during Design for their projects.
She founded Quality during Design through her company Deeney Enterprises, LLC. Her vision is a world of products that are easy to use, dependable, and safe – possible by using Quality during Design engineering and product development.