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The newly introduced Jellyfish Benchmarks allow engineering leaders so as to add context to engineering metrics and efficiency by introducing a technique for comparisons.
Jellyfish clients now have perception on the percentile stage as to how they stack up towards their friends for the reason that advanced nature of recent software program engineering usually fails to offer engineers correct context, in accordance with the corporate.
Engineers who opt-in may have their knowledge anonymized and added to the benchmarking Jellyfish buyer pool. Among the many key metrics are allocation, supply, productiveness, and collaboration.
Allocation benchmarks allow groups to grasp how their useful resource investments examine to different engineering organizations. Supply could be benchmarked utilizing metrics reminiscent of cycle time, productiveness utilizing metrics like points resolved, and collaboration utilizing metrics reminiscent of PR critiques.
New benchmarking capabilities additionally allow DevOps groups to trace towards DORA metrics together with deployment frequency, lead time, imply time to restoration, and alter failure charge.
“By providing the trade’s solely in-app benchmarking, Jellyfish is empowering engineering leaders to make use of context-driven knowledge to look at the efficacy of their engineering technique and their workforce’s operations,” stated Krishna Kannan, head of product at Jellyfish. “Jellyfish Benchmarks is on the market for each metric tracked throughout groups or your complete group, serving to clients perceive how their firm compares for the metrics that matter most to their engineering operate.”
Jellyfish Benchmarks can even present data-driven insights to tell non-engineering executives to assist drive extra strategic choices.
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