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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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...
When pursuing aggressive benchmarks, engineers must employ portfolio thinking, running multiple design projects simultaneously. But choosing winners requires a decisive way to eliminate projects that are not feasible to continue innovating, often referred to as a "project killer". In this episode, we analyze Tesla's battery development as a case study. We delve into their use of five clear-cut constraint categories that define failure conditions upfront: the Economic filter, Performance...
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...
