Case Study: Ada improves engineering visibility and AI productivity with Jellyfish

ADA improves cycle times by 14% with Jellyfish

Ada, an AI-powered customer service automation platform, faced the challenge of balancing support for its existing product while pivoting to a new generative-first strategy. Their previous metrics solution failed to provide the visibility needed for engineering leaders to align resource allocation with business objectives. To address this, Ada turned to Jellyfish for engineering management solutions.

By implementing Jellyfish, Ada gained instant visibility into engineering operations, allowing them to track work allocation against specific targets. This enabled a consistent double-digit increase in technical investments and a 14% improvement in cycle times using GitHub Copilot. Jellyfish provided the data needed to align engineering efforts with business goals, resulting in Ada ranking in the 97th percentile for their industry in "days with commits" and providing a holistic view for more confident executive reporting.

ADA