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Quality during Design
Dianna Deeney
186 episodes
1 week ago
Ever face a late-stage design decision where your gut says “maybe,” finance says “no,” and the schedule says “hurry”? We unpack a simple way to make those calls with more clarity: using expected value to connect confidence, upside, and downside into one sober view of net benefit. No jargon, no spreadsheets required—just a clear framework that helps you see when a $50,000 test buys real certainty, and when the right move is to ship. Still, numbers don’t get the final say. The goal isn’t...
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All content for Quality during Design is the property of Dianna Deeney and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Ever face a late-stage design decision where your gut says “maybe,” finance says “no,” and the schedule says “hurry”? We unpack a simple way to make those calls with more clarity: using expected value to connect confidence, upside, and downside into one sober view of net benefit. No jargon, no spreadsheets required—just a clear framework that helps you see when a $50,000 test buys real certainty, and when the right move is to ship. Still, numbers don’t get the final say. The goal isn’t...
Show more...
Careers
Education,
Business,
Management
https://is1-ssl.mzstatic.com/image/thumb/Podcasts211/v4/83/78/9f/83789faa-1ad0-717b-a5dd-0a94c254968a/mza_15409478998338511298.jpg/600x600bb.jpg
How to Choose Risk Tools That Actually Help Decisions
Quality during Design
10 minutes
3 months ago
How to Choose Risk Tools That Actually Help Decisions
If you reach for the nearest “risk” template, it might cause more problems. There are two very different jobs we ask risk tools to do. In this episode, we talk about how to pick the one that actually moves your project forward. identification tools for unknown unknowns (like FMEA and preliminary hazard analysis) that systematically surface risks to users, systems, and environmentsdecision tools for known unknowns that clarify impact, likelihood, and uncertainty so teams can choose a path with...
Quality during Design
Ever face a late-stage design decision where your gut says “maybe,” finance says “no,” and the schedule says “hurry”? We unpack a simple way to make those calls with more clarity: using expected value to connect confidence, upside, and downside into one sober view of net benefit. No jargon, no spreadsheets required—just a clear framework that helps you see when a $50,000 test buys real certainty, and when the right move is to ship. Still, numbers don’t get the final say. The goal isn’t...