Jellyfish is an intelligence platform for AI-Integrated Engineering. According to the vendor, the solution assists over 1,000 companies—including DraftKings, Box, and Blue Yonder—in utilizing Artificial Intelligence to manage software development lifecycles. By aggregating engineering data and contextual intelligence, Jellyfish is designed to help Research and Development (R&D) organizations measure impact, adopt industry practices, and support decision-making across AI adoption, project…
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Jellyfish
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Jellyfish
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Community Pulse
Jellyfish
Considered Both Products
Jellyfish (Orthogonal Networks, Inc.)
Verified User
Chose Jellyfish
GitHub provided a lot of issues for us from an end-user point of view. Overall, Jellyfish is more intuitive; although it does come with its struggles and downfalls, these are something that just takes time to figure out. GitHub was more focused on developing metrics ONLY, and a …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Verified User
Chose Jellyfish
The really cool thing about Jellyfish is the integrations that it has with the other tools, which are also very common within the software development industry. Consolidating all this data and being able to see graphs, numbers, and percentages in one place gives you a better …
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Jellyfish allows us to understand the allocation of our efforts without time tracking. We are also able to integrate this platform with our existing ticket tracking system and can see analytics instantly! Jellyfish works well for our teams because it has an opinionated view. Jellyfish understands that the metrics for an engineering team should help you understand what your organization values and is actively working on. We can use Jellyfish in a strategic way compared to other tools like this.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
UI and navigation aren't very intuitive and require additional research before being able to use.
The individual developer metrics are not very useful and make the interface feel cluttered.
Overall, it takes time for the end-user to truly learn how to use the platform and navigate. There is so much information/data available that although the above is a con, we felt it still made sense, despite the learning curve.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The really cool thing about Jellyfish is the integrations that it has with the other tools, which are also very common within the software development industry. Consolidating all this data and being able to see graphs, numbers, and percentages in one place gives you a better way to analyze and define better solutions to improve your software development processes.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
