Jellyfish today announced a major update to Jellyfish Assistant, an AI-powered conversational tool that acts as a personalized data analyst dramatically shortening the path from question to insight to action for engineering teams.
With AI usage skyrocketing – 63% of companies now use AI tools for most coding according to Jellyfish data – engineering leaders need faster ways to understand what’s actually happening across delivery, capacity, and productivity without spending hours digging through dashboards or stitching together reports. The real opportunity isn’t simply adding AI to automate analysis. It’s turning engineering intelligence into something leaders can act on immediately.
With Jellyfish Assistant, engineering leaders get faster insights from their engineering data using natural language and receive contextual answers and guidance drawn from the full Jellyfish data model.
This update is an important step toward Jellyfish’s broader vision of a DevAI Intelligence partner. As capabilities expand in the future – from customizable agents to proactive alerts – the Jellyfish platform will increasingly surface the risks, opportunities, and decisions that matter most, helping engineering leaders and R&D teams stay ahead of issues and act with confidence.
Meet Your AI-powered Natural Language Assistant
Jellyfish Assistant is an AI-powered natural language interface that acts as a personalized data analyst and allows users to ask questions about their engineering organization and receive data-backed answers and action plans from the full suite of Jellyfish insights.
Jellyfish Assistant interprets the question, queries the relevant datasets, and returns a synthesized answer with supporting context and relevant recommendations, transforming every insight into action.
Jellyfish Assistant exceeded my expectations. When I asked for a team’s average velocity, it didn’t just give me a number, it provided key insights and actionable recommendations that were spot on. I’ve used its feedback in real sprints, and it’s been genuinely useful, not just academic.
Jellyfish Assistant helps Jellyfish customers:
- Improve Predictability: Analyze metrics across multiple sprints and generate tailored recommendations.
- Align Effort to Investment: Understand how engineering effort maps to business goals, including FTE allocation across initiatives.
- Benchmark Performance: Compare delivery metrics across different teams, groups, or time periods.
- Support Developer Growth: Identify individual developer trends or outliers to guide coaching and performance discussions.
- De-risk Strategic Initiatives: Track the progress and surface potential bottlenecks of major releases.
- Accelerate Delivery: Automatically spot trends and surface data-driven recommendations to streamline your engineering processes.
We’re excited to bring Jellyfish Assistant to market to better surface insights that provide added visibility and efficiency to our customers. In the future, Jellyfish Assistant will expand with agentic capabilities that further automate reporting workflows and proactively alert users.
To learn more about Jellyfish Assistant and bring actionable intelligence to your engineering organization, schedule a demo today.
About the author
Tricia is a Senior Product Manager at Jellyfish.
