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.Support the show**FREE RESOURCES**Quality during Design engineering and new product development is actionable. It's also a mindset. Subscribe for consistency, inspiration, and ideas at www.qualityduringdesign.com. About meDianna 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.