📊 Three types of metrics for data science projects in professional organizations
If you're working on a data science project in a professional organization you'll need to show the value you contribute. That's where metrics come in.
But choosing a metric is hard. Because there's usually multiple factors at play. I've encountered that in my daily work as a data scientist.
I've found it useful to organize metrics in three level framework. I learned about it in the book "Trustworthy Online Controlled Experiments" (Kohavi, Tang, and Xu, 2020).
I'll explain the three types of metrics below.