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 contemporary software program engineering usually fails to provide engineers correct context, in response to the corporate.
Engineers who opt-in can 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 evaluate to different engineering organizations. Supply will be benchmarked utilizing metrics equivalent to cycle time, productiveness utilizing metrics like points resolved, and collaboration utilizing metrics equivalent to PR evaluations.
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 business’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 staff’s operations,” mentioned 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 perform.”
Jellyfish Benchmarks can even present data-driven insights to tell non-engineering executives to assist drive extra strategic choices.