Month: April 2023

Working with that data scientist

In my current team we have decided to split up the work in a number of workstreams, which are in effect subteams responsible for different aspects of the product. One workstream might be responsible for product instrumentation, another for improving the recommendation algorithms, another responsible for the application’s look and feel. Each workstream has its […]

Controlling for covariates is not the same as “slicing”

To detect small effects in experiments you need to reduce the experimental noise as much as possible. You can do it by working with larger sample sizes, but that doesn’t scale well. A far better approach consists in controlling for covariates that are correlated with your response. I recently gave a talk at our company […]

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