Jellyfish
JellyfishReviews from AWS customer
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Excellent Metrics, Easy Integration, and Strong Support
What do you like best about the product?
- The detailings of the metrics are really appreciable
- Very useful for analysis
- Easily understandable and usable as well
- Very user implementable and also integrates with JIRA,Github for better results
- It clearly detects the unplanned works and make us focus on closing them.
- Strong customer support as well
- Very useful for analysis
- Easily understandable and usable as well
- Very user implementable and also integrates with JIRA,Github for better results
- It clearly detects the unplanned works and make us focus on closing them.
- Strong customer support as well
What do you dislike about the product?
- Configuring it or working on it itself will take alot of time. Recommended to have a separate team for itself.
- Work done outside tickets or track is actually lost and not considered
- The actual initial setup is kind of hard and complex
- Work done outside tickets or track is actually lost and not considered
- The actual initial setup is kind of hard and complex
What problems is the product solving and how is that benefiting you?
- Easily tracking all the work from the Integrated tickets and services
- Work and efforts are considered and judged
- Complex analysis techniques with clear visuals of the metrics
- Work and efforts are considered and judged
- Complex analysis techniques with clear visuals of the metrics
Powerful Engineering Insights with Some Setup Complexity
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.
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.
Versatile Analytics Platform with Responsive Support, but DevOps Onboarding Needs Improvement
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
Great Integrations and Insights, but Data Validation Needs Improvement
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.
Comprehensive Dashboard, Enhances Productivity Effortlessly
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.
A competent product for tracking engineering efforts
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.
Great overall look at productivity in the org
What do you like best about the product?
Being able to break down metrics by teams and cycles is amazing
What do you dislike about the product?
I think that the sprint predictability measure could use some work
What problems is the product solving and how is that benefiting you?
It is able to get me insights into team productivity and that helps free cycles up
Much needed platform for engineering and product operations
What do you like best about the product?
Jellyfish provides a great set of features, dashboards, and metrics to help you be on top of your engineering and product operations.
Without it, you stitch 10 tools togetter and fight multiple custom integrations.
With it, you have a single pane of glass view for your engineering and part of the product ops.
Without it, you stitch 10 tools togetter and fight multiple custom integrations.
With it, you have a single pane of glass view for your engineering and part of the product ops.
What do you dislike about the product?
It can feel a bit cluttered as a lot of things are packed into a single interface.
What problems is the product solving and how is that benefiting you?
Provides visibility to a lot of engineering metrics, which helps to be on top of engineering excellence and performance measurement.
Good product to work with
What do you like best about the product?
Does a great job at pulling together metrics and insights from multiple sources to give us a single pane of glass view of engineering health. I like the fact that their product teams have the ear to the ground, bring together feedback from industry and users, to continuously evolve the product
What do you dislike about the product?
I cannot think of anything at this time. Nothing of significance
What problems is the product solving and how is that benefiting you?
Insights and metrics of the R&D teams
Visibility into Engineering Work and Priorities
What do you like best about the product?
Jellyfish gives engineering leaders visibility into where time is being spent. It helps break down work across projects, KTLO, and initiatives so teams can see alignment with priorities. The reporting makes it easier to have data-driven conversations about tradeoffs and capacity.
The biggest upside is clarity. Jellyfish takes data that’s usually scattered across git, tickets, and spreadsheets and brings it into one place. This reduces guesswork and helps managers and executives align on what teams are working on and how it connects to strategy. It also helps track trends over time, like cycle time or allocation shifts, which makes planning and retrospectives more grounded.
The biggest upside is clarity. Jellyfish takes data that’s usually scattered across git, tickets, and spreadsheets and brings it into one place. This reduces guesswork and helps managers and executives align on what teams are working on and how it connects to strategy. It also helps track trends over time, like cycle time or allocation shifts, which makes planning and retrospectives more grounded.
What do you dislike about the product?
What do you dislike about Jellyfish?
The tool can feel rigid. The categorization of work is powerful but depends on tagging and setup, which creates extra overhead. Some managers worry about metrics being misused against individuals rather than used for organizational insight. The interface can also be overwhelming at first, and not all dashboards are intuitive without training.
The tool can feel rigid. The categorization of work is powerful but depends on tagging and setup, which creates extra overhead. Some managers worry about metrics being misused against individuals rather than used for organizational insight. The interface can also be overwhelming at first, and not all dashboards are intuitive without training.
What problems is the product solving and how is that benefiting you?
Jellyfish solves the problem of visibility in engineering work. Before, it was difficult to understand how much time was going into projects, KTLO, and unplanned work. Now we can see how work maps to company priorities and track trends like cycle time and allocation shifts. This helps with planning, resourcing, and having grounded conversations with executives about tradeoffs. It reduces guesswork, builds trust in data, and makes it easier to align engineering with product and business goals.
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