Project

Project Galaxy: Turning Archives into a Living Intelligence

02 Galaxy

AI Product

UX Design & Research

UI Design

UX Design & Research

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Introduction

I worked as the UX intern at Schlumberger Software Technology Innovation Center (STIC), a research center with a goal of leading the oilfield digital transformation by taking advantage of technology trends driven by Silicon Valley companies.

On this project, I worked with a software engineer intern, and a senior UX designer (my mentor). I was responsible for the end-to-end design process, including user research, concept development, prototyping, and UI design/ hand-off documentation.

Curiosity Unfolding

From data visualization problem to bigger picture

At STIC, every year brings dozens of bold experiments — from applications for newest XR headsets to digital twins — all logged into the internal research repository, called Radar.

At first, my assignment seemed straightforward: redesign the data visualization of past research projects. The radar tool looked sleek, but in conversations around the center it was often dismissed as “just a cool presentation layer.”

But as I talked to more people, I began to see Radar differently — not as a static map, but as the key to a hidden sea of knowledge.

At STIC, every year brings dozens of bold experiments — from applications for newest XR headsets to digital twins — all logged into the internal research repository, called Radar.

But as I talked to more people, I began to see Radar differently — not as a static map, but as the key to a hidden sea of knowledge.

At STIC, every year brings dozens of bold experiments — from applications for newest XR headsets to digital twins — all logged into the internal research repository, called Radar.

But as I talked to more people, I began to see Radar differently — not as a static map, but as the key to a hidden sea of knowledge.

Reframed Problem

Buried insights in sea of research documentations

If the result is satisfactory, user can pin or collect the UI component for future to gradually customize their dashboard to be most useful.

Feature 1

Exploration and personalization, working in tandem

For the MVP, we complied all the data from past radar pages into one, dynamic, interactive knowledge graph that allows users explore projects with flexibility and joy.

Each view — Technology, Domain, or Team — serves as a lens through which users can explore and compare projects based on different organizing principles. While the underlying dataset remains the same, these views reorganize the relationships and clusters based on user priorities.

For the MVP, we complied all the data from past radar pages into one, dynamic, interactive knowledge graph that allows users explore projects with flexibility and joy.