Jellyfish

What do you like best about the product?

Jellyfish gives unmatched visibility into how our engineering team’s time is spent across product development, tech debt, and unplanned work. It helps connect engineering effort directly to business priorities — something that was always difficult to quantify before. I especially like the Investment Allocation and Delivery Insights dashboards, which make it easy to communicate engineering impact to leadership in a clear, data-driven way.

What do you dislike about the product?

While Jellyfish provides powerful insights, the initial setup and data model configuration can be a bit complex — especially when integrating multiple Jira projects or custom workflows. Some of the reports take longer to load when dealing with large repositories, and custom dashboard flexibility could be improved. However, once everything is configured properly, the value it delivers easily outweighs the setup effort.

What problems is the product solving and how is that benefiting you?

Before using Jellyfish, it was difficult to clearly understand where our engineering time was being spent and how it aligned with company priorities. Jellyfish solves that by bringing data visibility into engineering work — showing the balance between product innovation, tech debt, and operational tasks.
It helps our leadership team make data-driven decisions about resource allocation, sprint planning, and long-term roadmap investment. The platform also bridges the gap between engineering and business stakeholders by translating complex development activity into clear, measurable outcomes. Overall, it’s helping us improve delivery predictability, optimize workloads, and demonstrate engineering impact to executives.

What do you like best about the product?

The platform is extremely versatile for multi layer analytics and anywhere there are gaps in our requirements JF are always willing to come to the table to make a solution.

What do you dislike about the product?

How to onboard for DevOps could be clearer

What problems is the product solving and how is that benefiting you?

JF show's at a high level we're our engineering effort is being allocated to allow for leadership teams to make strategic data driven decisions

What do you like best about the product?

It's ability to seamlessly integrate data from different services like Github and JIRA and to visualize insights in actionable ways.

What do you dislike about the product?

The difficulty to validate data coming out of Jellyfish and being able to build trust in the metrics.

What problems is the product solving and how is that benefiting you?

It's able to track allocations of work across investment categories in our engineering organization seamlessly. This allows leadership and management to plan accordingly and course correct as needed. Jellyfish also shows developer productivity metrics across the org.

What do you like best about the product?

I greatly appreciate Jellyfish's ability to provide a comprehensive dashboard that simplifies the monitoring of team and individual productivity, including metrics, cycle times, and deployment frequencies. This tool has significantly streamlined performance reviews and sprint evaluations. I find the DevOps metrics particularly valuable for assessing deployment success and identifying any team challenges. Its straightforward setup and integration with existing tools have been effortless, allowing us to leverage its full potential from day one. Furthermore, Jellyfish stands out by enhancing productivity tracking more effectively than any other tool we've used, proving indispensable in managing our projects efficiently.

What do you dislike about the product?

I feel the user interface (UI) and user experience (UX) could be improved to enhance usability. I also wish there was seamless integration with AI capabilities, such as a chatbot or a feature to summarize individual performance. Currently, checking specific metrics like individual performance over the last six months involves a manual process of filtering data. Incorporating AI features would automate these tasks, making Jellyfish more powerful and easier to use.

What problems is the product solving and how is that benefiting you?

I use Jellyfish to track productivity and deployment metrics, simplifying performance reviews and team health assessments. It serves as a single point of contact for productivity insights, enhancing both individual and team evaluation processes. I also use it track my sprints progress and health.

What do you like best about the product?

The views around team productivity, commit history, AI adoption, and other facets help give context on team efforts, allowing us to refine areas of inefficiency and prove out the effects of various workflow improvements.

What do you dislike about the product?

The metrics-centric approach can drive teams to focus exclusively on improving the metrics without understanding why their improvement matters. This can lead to "gaming the system" types of approaches. Guidance for managers about why the metrics matter and how to improve them in a healthy manner, as well as red flags to look for around metric-only improvement, would be ideal.

What problems is the product solving and how is that benefiting you?

It lets us see into points of friction that have been institutionalized / accepted over time, allowing us to identify and fix these to improve both cycle time and morale.