Jellyfish allows us to compare epics, notice trends, and shift accordingly.

Jellyfish immediately solved for visibility challenges by helping management understand where engineering time was being allocated. “Being able to quantify and support arguments with evidence was a huge benefit and that data was not something we could get out of the native Git and Jira tooling,” Serink shared.

Operational complexity can build up if teams don’t prioritize efficiency as they grow. Jellyfish allows Jobber to better understand their rate of delivery, and other engineering operational trends. “Jellyfish allows us to compare epics, notice trends, and shift accordingly. We can diagnose problems and spot them early on before they become emergencies,” Serink shared.

Jellyfish metrics have supported Jobber’s initiatives in two key areas:

• Re-platforming of their mobile app
• Improving team operations and effectiveness with metrics

• Re-Platforming The Mobile App

  Jobber’s mobile app is an important facet of its business, enabling users to more easily access the product. A significant technology shift was required on the mobile app and Jellyfish helped uncover the inefficiencies that stemmed from working within their existing platform. The Jobber team understood the complexity of the situation, and what they needed to do, but had no evidence to prove that without Jellyfish data. “Jellyfish had the ability to tell us how much time was being spent on certain activities. We could even see which engineering language was being used to help isolate work on just the mobile app,” Serink said.

  With that data in mind, the Jobber team made the decision to re-platform their mobile app in order to improve team efficiency. “We weren’t seeing enough movement in the technical direction we needed, and Jellyfish helped us identify the gap and make the decision to embark on a significant re-platforming project,” Serink said. “Jellyfish helped us advise the choice we ultimately made to re-platform,” Serink said.

  As a result, Jobber started investing heavily in their React Native skillset. They wanted to create consistency across the way teams worked on web and mobile and streamline the entire development process.

  The team has seen significant improvement in team performance and product innovation since re-platforming the mobile app. “We’re building a more modern UI and we have more production tools that support it,” Serink shared.

  Results from Using Jellyfish

  Serink has seen the engineering organization optimize significantly in recent months. “Engineering pace is kicking up. We’re helping executives see the health and speed of our engineers.” Through the utilization of Jellyfish data, visibility across the organization is improving day-by-day. Jobber is operating as a cohesive unit with increased operational efficiency.

  The increased operational efficiency has even enabled the team to better collaborate. “Jellyfish helps us understand what’s going on within the teams themselves and across the board,” shared Serink. “Over time, Jellyfish tells us a story of how we can better allocate our time and efforts.”

  Serink is happy with the team progress he’s seen with Jellyfish so far and looks forward to working with the tool more. “Jellyfish is maturing at a pace we need. With it, we’ve offloaded a lot of manual efforts and improved our engineering metrics practice in a way that without Jellyfish would take hundreds of thousands to resource.”