#Data

How a data scientist approaches a B2B product launch from first principles — defining metrics before a line of code ships, building the data model, creating pre-launch dashboards, and learning from the first beta customers.

How Onfido's data science team built a Structural Causal Model of their document verification pipeline — and used it to simulate the impact of product improvements before shipping a single line of new code.