Your users already know what's relevant. Are you listening?

OpenSearch User Behavior Insights (UBI), available by default on Aiven for OpenSearch, is presented as a way to connect search relevance work with real production behavior rather than relying solely on aging offline judgment sets. It stores search requests in the `ubi_queries` index and user actions such as clicks, scrolling, and dwell time in `ubi_events`, linking both through a shared `query_id` that preserves the relationship between ranked results and subsequent engagement. This data allows teams to identify high-volume queries with low engagement, distinguish ranking problems from weak result presentation, and use repeated clicks or dwell as implicit signals for curated rules, learning-to-rank models, and A/B tests. A demonstration application using product data illustrates how searches, engagement metrics, and underlying event records can be explored through a UI and OpenSearch Dashboards. While UBI does not replace expert evaluation, it helps relevance engineers, product teams, and catalog editors focus their investigation on observed user behavior, providing feedback that remains useful across traditional, vector, hybrid, and generative search systems.

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