Jellyfish
JellyfishReviews from AWS customer
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Jellyfish is a great entry in a new and important engineering leadership tool category.
What do you like best about the product?
I've used a number of similar products in this space, Jellyfish was the only one that had both very complete metrics but also focused on what value the organization is delivering. I found the latter especially important, as many of the competitors felt like they are more focused on tracking which employees are doing work on which days. With Jellyfish, I was able to up-level from just individual metrics to true organization metrics that show where our investments are going along side productivity statistics. That view allows me to make more strategic decisions than other data I've used in the past, and getting it is very easy.
What do you dislike about the product?
The UI took a little getting used to, it's clear that they focused on a strong data model and excellent data ingest over a clean UI. Once I spent a day or two in the product I got the basics, and after a week or two I was able to understand where to go to answer different questions but it's definitely an area that took some getting used to.
What problems is the product solving and how is that benefiting you?
I believe that modern engineering organizations need to rely on metrics both in evaluating the health of their org and communicating status to peers and upward. Compiling those statistics is not easy though, all of the data is there but it's locked in disparate ticking and source code systems. Jellyfish solves the hard problem of mapping the data into those systems into key metrics and a view as to where engineering investments are going.
The immediate benefits I realized was an ability to better communicate status of my org and our projects outside of my organization. The clear time series data helped convey where the company's engineering headcount was working every month and quarter. I've also had some good success bringing those some metrics back to the team, so that we have some objective measures to see how process and innovation experiments change the way we work.
The immediate benefits I realized was an ability to better communicate status of my org and our projects outside of my organization. The clear time series data helped convey where the company's engineering headcount was working every month and quarter. I've also had some good success bringing those some metrics back to the team, so that we have some objective measures to see how process and innovation experiments change the way we work.
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