Case Study: Flo Health optimizes engineering allocation and AI measurement with Jellyfish

A Jellyfish Case Study

Preview of the Flo Health Case Study

Flo Health boosts GTM with Jellyfish, cutting KTLO to 5%-10%

Flo Health, the world's largest women's health app, faced a challenge in managing its engineering resources across its 20+ cross-functional teams. Relying on a fragmented system of Jira, spreadsheets, and an internal BI tool required significant maintenance and provided limited visibility, making it difficult to objectively allocate resources and measure initiatives like technical debt or AI adoption. This led them to seek a solution from the vendor Jellyfish.

By implementing Jellyfish, Flo Health gained objective data to optimize its operations. The solution provided clear resource allocation dashboards, enabling the company to systematically increase investment in growth initiatives while reducing routine maintenance work to just 5-10%. Jellyfish also allowed them to balance rapid AI tool adoption with developer experience surveys, preventing engineer burnout. Furthermore, the platform provided benchmarked reports for their board of directors, clearly demonstrating engineering productivity and strategic alignment to investors.


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