Ask Swarmia AI anything about your engineering data [beta]

The questions you need to ask your engineering data change constantly. Swarmia’s pre-built reports cover the most common ones, but when you’re trying to understand why a metric changed, how work is distributed across a team, or what’s driving a specific trend, you often end up jumping between views and piecing things together.

With Swarmia AI, you can ask questions about your data in plain language and get answers that combine insights from across the product. The responses can include summaries, tables, and charts.

Here are a few examples of what it can do:

• Summarize recent survey results, analyze ratings and comments, and get recommendations for next steps. Swarmia AI reviews both quantitative ratings and qualitative feedback and combines them with insights from the Build book to suggest concrete improvements.
• Identify root causes behind trends in your data. For example, if technical debt increases for a team during a certain period, Swarmia AI analyzes relevant data to suggest possible explanations and recommendations.
• See how work is distributed across team members. For code review, it can show how many reviews each person completed and how much time they spent reviewing code.

After each response, you can ask for follow-up questions, add or remove data from charts, or save the results in the explore view.

The beta version of Swarmia AI is available to all trialing and paying Swarmia customers. Get started by clicking Swarmia AI in the main navigation. Several views, including code metrics, issue metrics, AI adoption, AI impact, coding agents, and surveys, now also include an ask Swarmia AI button. This opens a new chat with the relevant view’s context already included, so you can ask questions about that specific data.

In the coming weeks, as we get ready to release Swarmia AI to general availability, we’ll focus on improving the user experience by updating the response formatting, adding chat history, and making Swarmia AI accessible from even more places. We’ll also introduce richer team context, including ownership areas, areas of expertise, and tenure. Combined with the effort model, AI contribution, and other data, Swarmia AI will soon be able to answer questions like: “who’s responsible for feature X?” or “who last worked on feature Y?”

We’d love to hear what you think about Swarmia AI. To let us know, you can react to each response with a thumbs up or thumbs down. If you have more detailed feedback, please get in touch with your customer success manager or email us.