How Atlassian continuously improves Rovo Search quality

How Atlassian continuously improves Rovo Search quality

Exploring the latest updates and inner workings of Atlassian’s AI-powered enterprise search solution.

The days of walking the halls looking for a subject matter expert or waiting for a clarifying email are over. To stay competitive, modern and globally distributed teams need to access and translate actionable knowledge into progress as fast as possible.

Atlassian’s solution for instant knowledge is the AI-powered Rovo Search, which is tailored to work across the enterprise using Atlassian’s proprietary Teamwork Graph.

By using Rovo Search, teams have access to:

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In this blog, we’ll share how we define and measure search quality for Rovo Search as well as the latest advancements in AI-powered search that you can now experience.

Our process of elevating search quality

We are always identifying opportunities, running experiments, and launching model improvements to ensure Rovo Search offers the best possible results in real time. Recently, in an A/B test, Rovo Search gave searchers 60% more successful results than the next leading enterprise search tool.

Since January 2025, we have already launched several ranking and infrastructure upgrades that have improved our primary quality metric (by +10%) and reduced latency while loading search results.

How Atlassian measures search quality in Rovo

We established a primary online search quality metric to evaluate the extent to which user needs are fulfilled by Rovo. This metric is a composite that reflects positive user engagement with essential components of the search results page, such as:

In addition to these composite metrics, we closely track a suite of metrics that cover various aspects of the search page, including clicks, long clicks, click depth, filter usage, and more.

Rovo’s latest improvements to search quality

Atlassian’s enterprise search capabilities are ever-evolving. For example, here are the four latest advancements we just launched in Rovo Search:

Continuous improvement means being transparent

By sharing how we measure and improve Rovo, we’re opening the door for feedback, trust, and collaboration. We will continue to identify opportunities for improvement in our ranking and user experience, striving to facilitate seamless knowledge search across diverse data sources, so your teams can work smarter and move faster.

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