AI-powered search designed to eliminate silos, surface insights, and help large teams work smarter.

Large-scale companies often face the frustrating problem of information silos. Valuable knowledge ends up scattered across different tools, platforms, and teams, making it difficult for employees to find what they need. As a result, too much time is spent hunting for information instead of acting on it, leading to inefficiency, duplicated work, and slower decision-making.

As a product designer, I was responsible for designing a unified search experience that could pull data from multiple sources and present it in a way that was intuitive and efficient.

My design process focused on simplifying the user’s journey from query to insight, minimizing the time spent hunting for information

One of the key challenges was ensuring the AI-powered search felt approachable while still delivering powerful functionality. I worked closely with engineers and researchers to refine the interface, ensuring it could adapt to various organizational needs. Every design decision, from search filters to result previews, was informed by user testing and data, ensuring we addressed real pain points.