Project Galaxy: Turning Archives into a Living Intelligence

Project Galaxy: Turning Archives into a Living Intelligence

Project Galaxy: Turning Archives into a Living Intelligence

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Galaxy
AI Product
AI Product
UX Design & Research
UX Design & Research
UI Design
UX Design & Research
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.

product video

Reframed Problem

Buried insights in sea of research documentations

Buried insights in sea of research documentations

Buried insights in sea of research documentations

Today’s Radar often bury insights in static lists and fragmented pages, making it hard for users to explore, connect, or act on innovation meaningfully.

There’s no intuitive way to see the bigger picture, nor a personalized path to uncover what matters most.

Users need a system that supports both discovery and depth—one that sparks curiosity while adapting to their evolving goals.

Today’s Radar often bury insights in static lists and fragmented pages, making it hard for users to explore, connect, or act on innovation meaningfully.

There’s no intuitive way to see the bigger picture, nor a personalized path to uncover what matters most.

Users need a system that supports both discovery and depth—one that sparks curiosity while adapting to their evolving goals.

Today’s Radar often bury insights in static lists and fragmented pages, making it hard for users to explore, connect, or act on innovation meaningfully.

There’s no intuitive way to see the bigger picture, nor a personalized path to uncover what matters most.

Users need a system that supports both discovery and depth—one that sparks curiosity while adapting to their evolving goals.

Curiosity Unfolding

Diverging needs of Leaders, Engineers, and Researchers

Diverging needs of Leaders, Engineers, and Researchers

Diverging needs of Leaders, Engineers, and Researchers

To address broad and individual needs, I divided the solution into two complementary parts:

To address broad and individual needs, I divided the solution into two complementary parts:

To address broad and individual needs, I divided the solution into two complementary parts:

Explore

Purchase

Configuration

Analytics



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.

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.

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.

Diverging needs of Leaders, Engineers, and Researchers

From data visualization problem to bigger picture

Solution

As we mapped abstract data into a spatial galaxy metaphor, we found many promising visual parameters that intuitively encode complex project characteristics. However, we also encountered limitations in data availability and granularity that prevent full implementation today.

To guide future development, I documented a roadmap of potential visual mappings that could unlock richer storytelling and decision-making once the underlying data becomes accessible:

As we mapped abstract data into a spatial galaxy metaphor, we found many promising visual parameters that intuitively encode complex project characteristics. However, we also encountered limitations in data availability and granularity that prevent full implementation today.

To guide future development, I documented a roadmap of potential visual mappings that could unlock richer storytelling and decision-making once the underlying data becomes accessible:

As we mapped abstract data into a spatial galaxy metaphor, we found many promising visual parameters that intuitively encode complex project characteristics. However, we also encountered limitations in data availability and granularity that prevent full implementation today.

To guide future development, I documented a roadmap of potential visual mappings that could unlock richer storytelling and decision-making once the underlying data becomes accessible:

An evolving, modular dashboard that personalizes to your role and intent.

An evolving, modular dashboard that personalizes to your role and intent.

An evolving, modular dashboard that personalizes to your role and intent.

Evaluation of potential third-party integration

Evaluation of potential third-party integration

Evaluation of potential third-party integration

Auto-Loading Purchased Devices

Automatically imports purchased devices into the portal so users can begin configuring them even before physical delivery.

Then: I got ambitious. What if the dashboard could listen?

  • Conversational UI to detect user intent

  • Intent tagging to categorize queries

  • Modular UI components assembled in real-time based on those intents

Then: I got ambitious. What if the dashboard could listen?

  • Conversational UI to detect user intent

  • Intent tagging to categorize queries

  • Modular UI components assembled in real-time based on those intents

Then: I got ambitious. What if the dashboard could listen?

  • Conversational UI to detect user intent

  • Intent tagging to categorize queries

  • Modular UI components assembled in real-time based on those intents

Wasted Time on Waiting

Dealers had to wait until the physical devices arrived to begin the provisioning process, which prolonged the wait time for customers to receive their service.

Evaluation of potential third-party integration

Evaluation of potential third-party integration

Evaluation of potential third-party integration

Step-by-Step Guided Setup Wizard

Introduces a wizard to guide users through the setup process in the correct sequence.


Then: I got ambitious. What if the dashboard could listen?

  • Conversational UI to detect user intent

  • Intent tagging to categorize queries

  • Modular UI components assembled in real-time based on those intents

Then: I got ambitious. What if the dashboard could listen?

  • Conversational UI to detect user intent

  • Intent tagging to categorize queries

  • Modular UI components assembled in real-time based on those intents

Then: I got ambitious. What if the dashboard could listen?

  • Conversational UI to detect user intent

  • Intent tagging to categorize queries

  • Modular UI components assembled in real-time based on those intents

Uncertainty on Setup Process

Uncertainty about where to start in the provisioning portal, but not following an optimal setup sequence can lead to additional manual work.

Evaluation of potential third-party integration

Evaluation of potential third-party integration

Evaluation of potential third-party integration

Optimized Workflow Logic

Create template users to apply pre-configured settings to multiple devices, saving time on recurring setups.

  • Use cloning features to replicate configurations from an existing user or device, ensuring consistency across teams.

  • Batch configure multiple devices at once, reducing repetitive manual steps while retaining flexibility for unique needs.


Then: I got ambitious. What if the dashboard could listen?

  • Conversational UI to detect user intent

  • Intent tagging to categorize queries

  • Modular UI components assembled in real-time based on those intents

Then: I got ambitious. What if the dashboard could listen?

  • Conversational UI to detect user intent

  • Intent tagging to categorize queries

  • Modular UI components assembled in real-time based on those intents

Then: I got ambitious. What if the dashboard could listen?

  • Conversational UI to detect user intent

  • Intent tagging to categorize queries

  • Modular UI components assembled in real-time based on those intents

Tedious Manual Work

The previous provisioning process required users to manually configure each device one by one, a time-consuming and error-prone approach.

Personal Dashboard

persona-based layouts — better, but still too rigid. People's role can be fluid or a combination of many.

persona-based layouts — better, but still too rigid. People's role can be fluid or a combination of many.

persona-based layouts — better, but still too rigid. People's role can be fluid or a combination of many.