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snippets of useful information from Accelerate - Gene Kim, Jez Humble, Nicole Forsgren
In our search for measures of delivery performance that meet these criteria, we settled on four:
delivery lead time, deployment frequency, time to restore service, and change fail rate.
In order to analyze delivery performance across the cohort we surveyed, we used a technique called cluster analysis. Cluster analysis is a foundational technique in statistical data analysis that attempts to group responses so that responses in the same group are more similar to each other than to responses in other groups. Each measurement is put on a separate dimension, and the clustering algorithm attempts to minimize the distance between all cluster members and maximize differences between clusters. This technique has no understanding of the semantics of responses—in other words, it doesn’t know what counts as a “good” or “bad” response for any of the measures
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