Streamlined Signal Management, Needs User Segmentation
What do you like best about the product?
I like the bird's eye view of signals that Jellyfish provides. The easy integration with APIs is a big plus for me, and I really appreciate the AI adoption in the platform. It saves me a lot of time compared to maintaining bespoke Excel files. The initial setup was very easy, with a presales engineer fully setting it up before the agreement was signed.
What do you dislike about the product?
FinOps needs user/group segmentation. I no longer have access to the full picture of org compensation and augmented resource billing. The CTO is the only one besides Finance with full visibility, which is not the best use of his time. Finance doesn’t like managing in more than one place, especially with less familiar tooling. We need SVP/se director level input of compensation with ACL to keep other divisions separate.
What problems is the product solving and how is that benefiting you?
I use Jellyfish for managing signals from Jira, Bitbucket, Confluence, and AI coding. It makes yardstick and conversations consistent, providing a bird's eye view of signals and easy integration with APIs, saving lots of time from maintaining bespoke Excel files.
Clear Committed vs Delivered Insights and Helpful DORA Metrics
What do you like best about the product?
Overview about committed vs delivered work
General DORA metrics showing the evolution of cycle time, etc
What do you dislike about the product?
MCP integration with oauth is missing right now. This would make it far more useful to managers to use with their Agentic platforms.
The planning features don't enable to split by roles further beyond frontend and backend. We support 3 different platforms and as a results we are not using any of the planning features.
What problems is the product solving and how is that benefiting you?
Helps team track their progress and optimize their processes.
Enables us to capitalize our work.
Transforms Engineering into Measurable Value
What do you like best about the product?
I like how Jellyfish turns engineering into a measurable business function, not just a technical black box. The initial setup was fast.
What do you dislike about the product?
I think Jellyfish could improve by providing context-aware insights that automatically explain why a metric changes, not just what changes.
What problems is the product solving and how is that benefiting you?
Jellyfish helps turn engineering into a measurable business function, proving its value beyond a cost center and aiding in ROI storytelling for board meetings.
Data-driven metrics have boosted our scrum efficiency and improved cross-team visibility
What is our primary use case?
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.
How has it helped my organization?
Jellyfish has positively impacted our organization as it helps us grow our team efficiency at work. The documentation is excellent to start working with the product.
It helped my team grow efficiency through its easy setup, which takes time to learn, but is overall easy to use once you get the hang of it.
What is most valuable?
In my opinion, the best features Jellyfish offers are data collection, its lightweight nature, and the wonderful Jellyfish team.
When I mention data collection, Jellyfish stands out in that it can collect data from various development teams and provide analysis without intervention, helping us to make data-driven decisions easily. It is very lightweight, easy to configure, and provides accurate intelligent predictions. The Jellyfish team is wonderful, knowledgeable, and practical in resolving our queries on time.
Jellyfish provides a very excellent and intuitive user interface that helps to understand where time is being spent across our organization and is integratable with other platforms and software we use daily.
What needs improvement?
To improve Jellyfish, I suggest adding the view on the return on investment, making it easy to identify waste within our processes. It is a great way to see engineering overall results and measure.
Sometimes understanding the metrics is not simple. I also believe they should keep improving the user interface.
The individual developer metrics are not very useful and make the interface feel cluttered, which is an improvement that Jellyfish needs.
For how long have I used the solution?
I have been using Jellyfish for five years.
What do I think about the stability of the solution?
Jellyfish is stable and has been reliable for our organization.
What do I think about the scalability of the solution?
Jellyfish's scalability is good, as it handles our growth effectively.
How are customer service and support?
The customer support is very responsive and proactive, and I have had good experiences with their support team.
Which solution did I use previously and why did I switch?
I previously used Jira software, GitHub, and GitHub.
How was the initial setup?
My experience with pricing, setup cost, and licensing is that everything was excellent, straightforward, and the cost is very cost-effective compared to other alternatives.
What was our ROI?
I have seen a return on investment as it is easy to set up and a great tool. It is a great tool because it is easy to identify waste within our process.
Which other solutions did I evaluate?
Before choosing Jellyfish, I evaluated other options such as Miro.
What other advice do I have?
My advice to others looking into using Jellyfish is that I really recommend using it. If this is something your company is looking for, definitely give it a try. The Jellyfish team is also very responsive and supportive while updating, changing, or modifying required data. Having metrics from different tools in one place is very useful, especially when you have several engineering teams. I would rate this product a 9 overall.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Clear Visibility Into Team Work and AI Rollout Effectiveness
What do you like best about the product?
Jellyfish really helps me understand where my teams are working and how effective our roll out of AI has been.
What do you dislike about the product?
Jellyfish can sometime be confusing when linked with complex jira projects and it takes some extra digging to find. Sometimes we also struggle with the accounting sides of the house. We had a $100k swing and we still can't seem to figure out why as we didn't have any changes on our side.
What problems is the product solving and how is that benefiting you?
Jellyfish helps us understand both our spend from what can and can't be capitalized, where we're spending our time, ktlo, infra, features, etc. It also has been great for us to understand how our AI tooling rollout has gone.
Efficient Metric Tracking with Stellar UI and Support
What do you like best about the product?
I use Jellyfish for tracking engineering metrics like sprint reviews and throughput. I appreciate the customer service, especially Andrey, who is quick to respond and help. I like the UI of the platform as well. It saves me time going through Jira and building manual views because Jellyfish consolidates and standardizes the information well.
What do you dislike about the product?
Jellyfish is not very flexible at this time. I would like to be able to report directly from Jellyfish. I think this feature is to come with Datahub.
What problems is the product solving and how is that benefiting you?
Jellyfish consolidates and standardizes engineering metrics, eliminating the need for manual reports in Jira. It saves me time by automating sprint reviews and throughput tracking.
Powerful Productivity Insights, AI Impact Needs Improvement
What do you like best about the product?
I like the ability of Jellyfish to tie into the current tools we're using across our SDLC, like Jira and GitHub, and bring them together. It's great for understanding our kind of overall development productivity across teams and measuring it at various levels like group and org level. What stands out for me is how it can assess what's actually happening and how we deliver product or value back to our customers. The integration helps us tie metrics from different platforms, like linking a Jira ticket to a GitHub pull request and tying that to an Azure pipeline run. This brings a lot of value across the SDLC as it's crucial to see the bigger picture, not just isolated metrics. I also think the AI impact feature has been a starting point that gets my team and organization thinking differently in the era of AI.
What do you dislike about the product?
I'd love to see Jellyfish spend more time developing tools for understanding AI workflows, which I feel are lacking today. Although I know there's active work in that space, it's important to be able to visualize how we use AI beyond just individual tools in an IDE. It would be great if Jellyfish could be configured to centralize our internal AI workflow metrics so everyone can use them, instead of managing them separately.
What problems is the product solving and how is that benefiting you?
I use Jellyfish to understand overall development productivity across teams, identify throughput bottlenecks, and manage team opportunities. It helps me assess AI tool use and impact, though I wish it delved more into workflow visualization.
Enhances Engineering Insights, Needs Improved Hierarchy Management
What do you like best about the product?
I find the interface of Jellyfish pretty intuitive, which makes it easier for me to navigate the software. I like the metrics setting and exploring features, as they allow us to align the tool closely with our team's objectives. The integrated FinOps feature is something I appreciate because it removes a lot of manual work, or at least promises to do so once fully integrated. I also value the AI impact capability, which is helpful in evaluating how our AI adoption programs translate into actual tool usage. Additionally, I found the initial setup to be pretty straightforward.
What do you dislike about the product?
Team and team hierarchy management is a bit clunky and doesn't work quite how our teams are arranged, or the visibility we'd like to provide different engineers. AI impact could be expanded to improved insights into actual customer or business impact - this would need strong integration with custom metric definition tools.
What problems is the product solving and how is that benefiting you?
I use Jellyfish to identify bottlenecks and improve delivery flow with AI adoption. It aligns team metrics with goals and reduces manual work with finops, enhancing our AI tool use evaluation.
One Tool to Track Engineering Metrics and Improve Capacity Allocation
What do you like best about the product?
A single tool for tracking all engineering metrics. It’s been especially valuable for capacity allocation across key company initiatives.
What do you dislike about the product?
Not all tools can be connected, and some tool metrics are hidden in Metrics Explorer.
What problems is the product solving and how is that benefiting you?
It helps us make data-driven decisions about engineering and improves alignment between engineering and the business.
Bridging the Gap Between Engineering and Business Strategy.
What do you like best about the product?
The platform’s ability to provide high-level visibility into engineering alignment is outstanding. I love how it automatically aggregates data from Jira and GitHub to show exactly how much effort is being spent on roadmap items versus technical debt, all without manual time-tracking.
What do you dislike about the product?
The initial configuration and data mapping can be quite complex and time-consuming. I also find the learning curve for new managers to be somewhat steep, and I would appreciate more flexibility in creating highly customized, ad-hoc reports.
What problems is the product solving and how is that benefiting you?
It solves the "black box" problem of engineering productivity by translating technical output into business impact. This benefits me by providing data-driven insights to justify resource allocation, identify team bottlenecks early, and communicate progress effectively to non-technical stakeholders.
