Most productivity metrics are a lie. If the goal is more lines of code, I can prompt something to write the longest piece of code ever. It's just too easy to gain that system.
AI breaks traditional productivity metrics
Growth → Experimentation & Metrics
It's really hard to measure productivity. So you actually think about what actually drive productivity metrics for you.
Time is not quantifiable as a success metrics because you can write really bad code really fast.
We are in a world that there are no right metrics. There is no one metric to rule them all. It's a combination of the things that you're looking to measure out of adopting AI.
Instead of time, can we talk about time to value? So from the moment you put a developer on a task, how long did it take you until you realize the full potential or the full value of that, if it's generating revenue, if it's in adoption, if it's time to market?
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