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Qatalog – Unified Enterprise Search

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

My Role

Product Designer, Visual designer

Design for the unified search experience, from concept to delivery.

Timeline

6 months

End-to-end design process including research, prototyping, and testing.

Team

Design, Engineering, Research

Collaborated closely across disciplines to refine AI-powered search.
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FEATURE WALKTHROUGH

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THE PROBLEM

Large organizations often struggle with fragmented knowledge systems spread across dozens of tools and platforms. Employees waste countless hours searching for documents, chasing down colleagues for context, or duplicating work that already exists.

This inefficiency not only slows decision-making but also erodes trust in information. Teams don’t know whether the data they find is accurate, up to date, or relevant. The result is a culture where productivity stalls, alignment slips, and collaboration suffers.

Research showed that employees were spending up to 20–25% of their workweek just searching for or validating information. For enterprises with thousands of workers, this represented a massive drag on efficiency and innovation.

THE SOLUTION

My role with Qatalog was to design an AI-powered enterprise search and workflow tool that acted as a single source of truth across the company. The goal was to make finding information as simple as a Google search, but for internal systems, data, and knowledge.

I focused on creating an interface that felt frictionless, fast, and trustworthy. Every search result needed to be contextual, so users could see not just the document but also the relationships between data, people, and projects. This meant designing results that included who created it, when it was last updated, and why it was relevant.

Through iterative prototyping and usability testing, I refined workflows to ensure the platform met the needs of both frontline employees and leadership. By bridging design with backend AI capabilities, Qatalog provided a search experience that was transparent, consistent, and adaptable across diverse use cases.

THE CHALLENGES

Building Qatalog came with several major challenges that required balancing depth with simplicity:

Multiple Audiences: The platform had to serve junior employees who needed clear guidance and executives who demanded fast, precise answers without added complexity.

Trust in AI Results: Users had to feel confident that the information surfaced was not just fast, but reliable and contextualized. This meant tackling issues of bias, outdated data, and system transparency.

Integration at Scale: Qatalog needed to plug into dozens of enterprise tools (Slack, Google Workspace, Jira, Salesforce, etc.), each with unique structures and data formats. Ensuring consistency across integrations was a huge technical and design hurdle.

Balancing Clarity & Complexity: Designing an interface that made complex AI-driven processes feel simple  without “dumbing down” the power required refining every detail, from result previews to filtering options.

Each of these challenges pushed the design toward a balance where the product could handle enterprise-level complexity while still feeling intuitive to everyday users.
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DESIGN PROCESS

My design process followed a Lean UX methodology, broken into four phases. Each step balanced speed and scalability with transparency, while keeping user needs at the center.
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RESULTS & OUTCOMES

The final product was an AI-driven search and workflow platform that cut employee search times by nearly 40%, saving an average of 5 hours per week per employee. For large organizations, this translated into thousands of hours saved monthly and millions of dollars in reclaimed productivity.

Usability testing confirmed that employees felt more confident and empowered when making decisions. Beginners appreciated the clarity and structure of the interface, while senior staff valued the precision and speed of contextual search. Collaboration improved as duplicate work decreased, and teams reported higher trust in shared information.

The most rewarding outcome was hearing employees describe Qatalog as “search that finally works like Google — but for our company.” This validated the vision of transforming overwhelming knowledge systems into clarity, accessibility, and trust.

This project not only reinforced my passion for designing at the intersection of AI and usability, but also highlighted how thoughtful product design can reshape enterprise culture — turning silos and inefficiency into transparency and speed.