Background

If you have a technology product, you’ll want metrics for it too. That’s the advice given by Reddit’s co-founders in this video: you’ll want to track _something _and its trends to avoid data debt when starting a product. Product and engineering teams at technology companies now view this as conventional wisdom. A product’s success and quality is only as good as metrics that verify it. You can’t improve it if you don’t measure it.

Reading the news and watching movies like The Social Dilemma, there seems to be a broad desire by the technology industry and society to move past merely using engagement metrics as success. That said, I’ve encountered surprisingly few approachable online resources that discuss how to design a good metric. That’s pretty surprising since this is one of the core responsibilities of data science teams! This guide is meant to be a step forward in filling that gap.

#metrics #data #analysis #interview #data-science