I really like how Jellyfish continues to engage with customers even after onboarding and consistently makes improvements to the application without causing any friction. Over the almost two years we've been using Jellyfish, they've added multiple features that I find useful and didn't have before. They're proactive from a product standpoint, gathering feedback for driving these implementations. Compared to other vendors, Jellyfish has excelled in maintaining this continuous improvement motion. I also appreciate the ease of onboarding, with a status page guiding me step-by-step through the initial setup. Jellyfish automates tasks that were previously manual, like pulling together actionable metrics and dashboarding for AI usage, thereby simplifying my workflow. The incorporation of an AI chat feature and a custom query mechanism really helps me overcome dashboarding limitations, allowing me to easily get the metrics I need.

Getting easy metrics for team projects that is easily accessible for managers and engineers.

I use Jellyfish to understand how testing and engineering effort contribute to overall product delivery and business priorities. It helps me track where QA and automation work is going, identify bottlenecks in the development workflow, and solve the lack of visibility between testing work and broader engineering priorities. With Jellyfish, I can better connect testing activities to feature delivery, identify where delays are coming from in the pipeline, and understand how much effort is going into. I particularly like the visibility it brings across engineering teams and QA work in relation to business priorities, along with reports on demand and budget planning. The visibility and reporting feature is especially valuable, as I can see consolidated reports that show where testing efforts are concentrated, how they align with development progress, and where delays and bottlenecks occur. This makes it easier to pinpoint issues like slow handoffs between development and QA. After moving to Jellyfish, manual work has been reduced, and the process of collecting data from multiple tools has been drastically reduced.