The Problem with Using DORA Metrics To Measure Your Engineering Productivity
Blog post from Weave
DORA metrics, popularized by their perceived scientific approach and backing from Google, are widely used to measure DevOps processes but are often misinterpreted as indicators of team productivity. Originating from the 2014 State of DevOps Report and later developed by the DevOps Research and Assessment group, DORA metrics include Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Time to Recovery. While these metrics provide a simplified view of DevOps efficiency, they do not measure the actual productivity or value delivered by engineering teams. The limitations of DORA metrics are highlighted by their inability to account for the substance and value of work done, leading to potential misuse where teams prioritize speed over meaningful productivity. To address these gaps, the Weave tool has been developed to offer more comprehensive productivity measurements by using AI to assess the quality and impact of code reviews, individual contributions, and overall team performance, thereby shifting the focus from speed to value creation.
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