Case Study: Jobber improves operational efficiency with Jellyfish

Jobber improves engineering efficiency and saves hundreds of thousands with Jellyfish

Jobber, a cloud-based field service management software company, faced challenges in optimizing team efficiency and justifying technology investments as their engineering team rapidly doubled in size. They needed better visibility into engineering allocations and a more data-driven approach to prioritize resources. Jobber turned to Jellyfish's engineering management platform to gain these insights.

Using Jellyfish, the team gained visibility into where engineering time was being spent, which helped them identify inefficiencies and make strategic decisions. This data was instrumental in their decision to re-platform their mobile app, leading to significant improvements in team performance and product innovation. Jellyfish also provided metrics that improved operational effectiveness, sprint planning, and the equitable allocation of work, resulting in a marked increase in engineering pace and operational efficiency for Jobber.

Jobber