Quality during Design
Author: Dianna DeeneySubscribed: 10Played: 247
Quality during Design is a podcast for product designers, engineers, and anyone else who cares about creating high-quality products. In each episode, we explore the principles of quality design, from user-centered thinking to iterative development. We explore ways to co-work with cross-functional teams. We also talk to experts in the field about their experiences and insights.
Join host Dianna Deeney in using quality thinking throughout the design process to create products others love, for less. Whether you're a seasoned designer or just starting out, looking to improve your existing designs or start from scratch, Quality during Design is the podcast for you.
QDD Redux Ep. 4: Statistical vs. Practical Significance
QDD Redux Ep. 2: How to Handle Competing Failure Modes
QDD Redux Ep. 1: How Many Do We Need to Test?
Timing Reliability in Product Design, with Jeffrey Lewis (A Chat with Cross-Functional Experts
Supply Chain Management during Design, with Kevin Bailey (A Chat with Cross-Functional Experts)
Information Development in Design, with Scott Abel – Part 2 (A Chat with Cross-Functional Experts)
Information Development in Design, with Scott Abel – Part 1 (A Chat with Cross-Functional Experts)
Reliability Engineering during Design, with Adam Bahret (A Chat with Cross-Functional Experts)
Engineering with Receptivity, with Sol Rosenbaum (A Chat with Cross-Functional Experts)
Crucial Conversations in Engineering, with Shere Tuckey (A Chat with Cross-Functional Experts)
Product Design with Brainstorming, with Emily Haidemenos (A Chat with Cross Functional Experts)
Product Design from a Data Professional Viewpoint, with Gabor Szabo (A Chat with Cross Functional Experts)
Product Design from a Marketing Viewpoint, with Laura Krick (A Chat with Cross Functional Experts)
UFMEA vs. DFMEA
Design Input & Specs vs. Test & Measure Capability
ALT vs. HALT
Design Specs vs. Process Control, Capability, and SPC
Internal Customers vs. External Customers
Discrete Data vs. Continuous Data