Case Study: Quantexa boosts engineering focus and velocity with Jellyfish

A Jellyfish Case Study

Preview of the Quantexa Case Study

Quantexa improves cycle time, commits, and PR throughput with Jellyfish

Quantexa, a company that provides AI-ready data foundation solutions, faced a challenge in scaling its engineering operations. Without visibility into how engineering resources were allocated, they struggled to align investments with business priorities and quantify the costs of support and maintenance. To address this, they implemented the Jellyfish Engineering Management Platform.

Using Jellyfish, Quantexa gained visibility into engineering efforts, which allowed them to align resources with strategic priorities and prevent context switching. The solution provided measurable results, including improvements in cycle time, number of commits, and PR throughput. Jellyfish also enabled data-driven discussions with executives and their PE sponsor, proving the impact of their developer experience investments and setting the stage for future capacity planning.


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