Essential tool for data-driven engineering decision making
What do you like best about the product?
Simplified setup: Implementation was surprisingly straightforward and quick
Exceptional technical support: The accompaniment from Jellyfish's technical services team has been excellent throughout the entire process
Advanced functionality: Particularly noteworthy is the new functionality to measure GitHub Copilot adoption and impact, which is proving crucial for our AI adoption plan
Actionable insights: The data allows us to identify specific improvement opportunities and measure the impact of implemented changes
Exceptional technical support: The accompaniment from Jellyfish's technical services team has been excellent throughout the entire process
Advanced functionality: Particularly noteworthy is the new functionality to measure GitHub Copilot adoption and impact, which is proving crucial for our AI adoption plan
Actionable insights: The data allows us to identify specific improvement opportunities and measure the impact of implemented changes
What do you dislike about the product?
While Jellyfish provides excellent out-of-the-box dashboards and analytics, I would appreciate more flexibility to create custom operational reports on my own. Currently, most reporting customization requires going through their support team or using their standard templates. Having a more robust self-service report builder or additional customization options for operational metrics would make the platform even more powerful for organizations with specific reporting needs.
What problems is the product solving and how is that benefiting you?
Jellyfish has provided us with the deep visibility we needed into our development teams. Before implementing the tool, we were making organizational and process decisions based on subjective perceptions. Now we have objective metrics and real data to map engineering behaviors across our entire organization.