I'm personally not a huge fan of collecting quantitative data to evaluate engineering productivity. The context of such metrics is usually more important that the data itself, meaning using some discrepancies in your results to identify business needs or issues. When I work with quantitative data, I try to find pattern rather than analyzing the data iself (why do pull requests last longer on Monday afternoon? do we have too many meetings there?..)