Senior Technical Business Analyst at a tech vendor with 10,001+ employees
Real User
Top 20
Oct 18, 2026
In my work, I mostly use Jellyfish to provide clear visibility into my work, eliminating the need for manual tracking. The simple dashboard has been able to make it easy for me to understand performance trends quickly. It is incredibly useful because it helps me identify delays in testing or review cycles, which helps me improve consistency and also maintain accountability. The setup was straightforward with smooth integration of tools such as Jira and GitHub, and it was easy to start using. Switching to Jellyfish from more manual tracking methods made the performance tracking more structured. I appreciate the contribution while using it alongside other tools such as GitHub, Jira, and CI/CD pipelines. I use Jellyfish to track my QA performance with clear dashboards, helping me quickly identify delays in testing cycles. It has improved consistency and accountability by providing visibility into my time usage and contributions.
My main use case for Jellyfish revolves around the visibility it provides for my organization and how it supports better planning and leadership conversations. As I continue using Jellyfish, I have found its biggest value is how it brings engineering delivery, team allocation, capacity, and investment priorities into one place by connecting data from tools such as Jira and GitHub, which I have been using in my organization. The dashboard makes it very easy to identify delivery risks, understand where teams are spending their time, and discuss trade-offs without manually consolidating information from multiple sources. It is especially useful for creating a shared view between engineering, product, PMO, and the leadership team in my organization. Jellyfish helps us by bridging the gap between the engineering teams and the business teams, which has aligned our technical work with the business goals strategically. It has been very helpful because it enables us to make data-driven decisions on estimations. Jellyfish also provides visibility into our information in a way we could not get anywhere else, as it shows where developers are actually spending their time, not just where they plan to spend it. The signals Jellyfish captures give us a clearer view of reality than our other planning tools. It enables us capital tracking without forcing us to rely on time tracking of our work.
My main use case for Jellyfish is that it has helped us save several hours of work each month for leaders. It incorporates detailed metrics that give us an idea about how the scrums can be improved and boost team performance. A specific example of how Jellyfish helped my team save hours or improve scrums is that it gives us a holistic picture of data collected from various systems, regardless of the tech stack teams use. It is superior to other vendor products available in terms of customization, offering organization when necessary. Jellyfish can collect data from various development teams and provide analysis without intervention.
Software Development Analytics involves tools and techniques to track and analyze software development data. These analytics offer insights into performance, efficiency, and quality, helping teams make informed decisions.
Within the software industry, analytics tools are essential for providing visibility into development processes. They play a critical role in identifying bottlenecks and ensuring quality management, helping teams optimize their workflows. Companies use these insights...
In my work, I mostly use Jellyfish to provide clear visibility into my work, eliminating the need for manual tracking. The simple dashboard has been able to make it easy for me to understand performance trends quickly. It is incredibly useful because it helps me identify delays in testing or review cycles, which helps me improve consistency and also maintain accountability. The setup was straightforward with smooth integration of tools such as Jira and GitHub, and it was easy to start using. Switching to Jellyfish from more manual tracking methods made the performance tracking more structured. I appreciate the contribution while using it alongside other tools such as GitHub, Jira, and CI/CD pipelines. I use Jellyfish to track my QA performance with clear dashboards, helping me quickly identify delays in testing cycles. It has improved consistency and accountability by providing visibility into my time usage and contributions.
My main use case for Jellyfish revolves around the visibility it provides for my organization and how it supports better planning and leadership conversations. As I continue using Jellyfish, I have found its biggest value is how it brings engineering delivery, team allocation, capacity, and investment priorities into one place by connecting data from tools such as Jira and GitHub, which I have been using in my organization. The dashboard makes it very easy to identify delivery risks, understand where teams are spending their time, and discuss trade-offs without manually consolidating information from multiple sources. It is especially useful for creating a shared view between engineering, product, PMO, and the leadership team in my organization. Jellyfish helps us by bridging the gap between the engineering teams and the business teams, which has aligned our technical work with the business goals strategically. It has been very helpful because it enables us to make data-driven decisions on estimations. Jellyfish also provides visibility into our information in a way we could not get anywhere else, as it shows where developers are actually spending their time, not just where they plan to spend it. The signals Jellyfish captures give us a clearer view of reality than our other planning tools. It enables us capital tracking without forcing us to rely on time tracking of our work.
My main use case for Jellyfish is that it has helped us save several hours of work each month for leaders. It incorporates detailed metrics that give us an idea about how the scrums can be improved and boost team performance. A specific example of how Jellyfish helped my team save hours or improve scrums is that it gives us a holistic picture of data collected from various systems, regardless of the tech stack teams use. It is superior to other vendor products available in terms of customization, offering organization when necessary. Jellyfish can collect data from various development teams and provide analysis without intervention.