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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
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Beyond Requirements: How Quality Methods Provide Actionable Design Inputs
Quality during Design
14 minutes
4 months ago
Beyond Requirements: How Quality Methods Provide Actionable Design Inputs
Send us a text Every product designer knows that critical moment when you must shift from understanding customer needs to actually engineering solutions. It's where the magic happens—and where many projects stumble. After a week of concept development with your team (customer evaluations, benefit analysis, symptom ID, and process mapping), you've gathered valuable insights. But how do you transform this mountain of information into concrete technical requirements? Quality tools transf...
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...