*What it measures*: What percentage of your data science team's time is spent fixing/retraining old models vs. building new ones? *Why it matters*: If your team spends 80% of their time "keeping the lights on" for old projects, your "Powerhouse" grinds to a halt. *Lean goal*: Automate maintenance ([[MLOps]]) to keep this ratio low