When a hiring panel isn’t technical, how do you make a dense project clear without losing the real rigor? I’m a science writer who translates research for broad audiences, and in a Tuesday interview I framed a climate model as “a weather simulator tuned by 20 years of buoy data” in about 45 seconds — felt clear, but did I oversimplify?
Keep the analogy, then add one metric and one limitation: “Cut forecast error 12% on 2010–2020 buoys, but it drifts after day 5, so we optimized near‑term accuracy.” That keeps rigor without jargon. If they lean in, have one sentence ready on the tuning method you used.
Your 45-second ‘weather simulator tuned by 20 years of buoy data’ hits, but to keep the rigor, add what you owned plus one outcome; drives me nuts when panels miss who did what. @smith39’s metric angle is solid; I’d add role clarity: ‘I led the buoy QA and calibration, which cut surprise-storm alerts for coastal planners by X%; if useful, I can give a 10-second on how we validated on 2018 storms.’ Would you be comfortable anchoring it to Tuesday with a single stake like ‘helps plan 3 days out’?