🕣 Duration: 5 weeks
🕣 Duration: 5 weeks
Mercer Brain: Streamline Content. Unleash Insights.
Mercer Brain: Streamline Content. Unleash Insights.
Mercer Brain is an AI-enabled cognitive search and content management solution. It was designed to unify and streamline search across all Mercer sites and apps, making it faster and easier for both clients and employees to locate thought leadership and internal content.
✅ Shiped
✅ Shipped
100%
Of beta users stated it took them less time to load, tag and publish
content to Brain compared to current repositories they use.
100%
Of beta users stated it took them less time to load, tag and publish content to Brain compared to current repositories they use
70%
Of respondents stated they would choose Brain over any other search tool they currently have available in the organisation.
70%
Of respondents stated they would choose Brain over any other search tool they currently have available in the organisation.
Slick tool
Needs to be on our digital roadmap. If this database includes
sources from several sources (Mercer Link, Mercer.com, etc)
I feel it's a great resources and it saves time to search.
Slick tool
"Needs to be on our digital roadmap. If this database includes sources from several sources (Mercer Link, Mercer.com, etc) I feel it's a great resources and it saves time to search."
Looking forward
To this being the central source of all information Mercer!
Looking forward
"To this being the central source of all
information Mercer!"
Process
If you need to hear the amazing story behind the project, don't be a stranger and reach out
If you need to hear the amazing story behind the project, don't be a stranger and reach out
Fun Fact
This was my very first major project, which meant I had to lead the whole thing. It was basically a crash course in leadership—and a masterclass in pretending I knew what I was doing!
The Problem
Consultants and clients faced significant challenges, including scattered content across multiple systems, inefficient keyword-based searches that returned irrelevant results, and version control issues that led to the use of outdated documents, all of which resulted in a substantial amount of time lost in document retrieval rather than delivering insights to clients.
My Role
My Role
I was responsible for leading the end-to-end design of the Mercer Brain project, while collaborating closely with the PM, developers and the client. My focus was to translating complex data flows into visual representations of their vision
I was responsible for leading the end-to-end
design of the Mercer Brain project, while collaborating closely with the PM, developers and the client. My focus was to translating complex data flows into visual representations of their vision
Lead-Designer
Lead-Designer
🎨 Product Design
🎨 UI/UX
🔍 User Research
🧭 System Flows
📱 Prototyping
🔍 User Research
🧭 System Flows
📱 Prototyping
The Problem
Consultants and clients faced significant challenges, including scattered content across multiple systems, inefficient keyword-based searches that returned irrelevant results, and version control issues that led to the use of outdated documents, all of which resulted in a substantial amount of time lost in document retrieval rather than delivering insights to clients.
Client Meeting
We kicked off the project with a client meeting where they introduced their vision for Mercer Brain, outlined
the project goals, and explained the urgency behind the tight deadline. This session set the foundation for everything that followed.
Client Meeting
We kicked off the project with a client meeting where they introduced their vision for Mercer Brain, outlined the project goals, and the urgency behind the tight deadline. This
session set the foundation for everything that followed.
System Architecture Diagram
With the vision in place, I transitioned into UX exploration. Using the initial diagram flow provided by the client,
I mapped the AI content journey, identified key human-AI handoff points, and established early alignment meetings to clarify business goals and technical constraints.
System Architecture
Diagram
With the vision in place, I transitioned into UX exploration. Using the initial diagram flow provided by the client, I mapped the AI content journey, identified key human-AI handoff points, and established early alignment meetings to clarify business goals and technical constraints.
Wireframes & Flows
Building on these insights, I designed low-fidelity wireframes and user flows for key features, including document uploads, dashboard insights, and AI review panels. These were shared with the client early for feedback to ensure alignment before moving to high-fidelity designs.
AI Image suggestion: This concept was not carried forward into the final product.
Competitive Analysis
Once the foundational flow was clear, I conducted a competitive audit of platforms like Drupal, Medium, and Google Scholar. This helped me understand how similar platforms approach content management, publishing, and discoverability insights that directly informed my user flows.
Fun Fact
This was my very first major project, which meant I had to lead the whole thing. It was basically a crash course in leadership—and a masterclass in pretending I knew what I was doing!
Competitive Analysis
Once the foundational flow was clear, I conducted a competitive audit of platforms like Drupal, Medium, and Google Scholar. This helped me understand how similar platforms approach content management, publishing, and discoverability insights that directly informed my user flows.
Wireframes & Flows
Building on these insights, I designed low-fidelity wireframes and user flows for key features, including document uploads, dashboard insights, and AI review panels. These were shared with the client early for feedback to ensure alignment before moving to high-fidelity designs.
AI Image suggestion: This concept was not carried forward
into the final product.
UI Design
With feedback incorporated, I created high-fidelity mockups that served as the final visual blueprint. These designs captured the platform’s intended look and feel, paving the way for user research.
UI Design
With feedback incorporated, I created high-fidelity mockups that served as the final visual blueprint. These designs captured the platform’s intended look and feel, paving the way for user research.
User Research
To validate assumptions, I conducted user testing sessions. Feedback confirmed many design decisions while also highlighting refinements—like improving tag suggestions and upload accessibility—which were implemented to enhance usability.
Key Insights & Refinements
Positive Feedback: Users responded well to the overall flow and AI features.
Key Refinements: AI-driven tag suggestions were introduced prior to document uploads, improving accuracy and speed.
Handoff
With final refinements complete, I delivered all documentation under the tight deadline. This included visual designs, flowcharts, design files, and research findings—ensuring both the client and developers had a clear roadmap for implementation.
User Research
To validate assumptions, I conducted user testing sessions. Feedback confirmed many design decisions while also highlighting refinements like improving tag suggestions and upload accessibility which were implemented to enhance usability.
Key Insights & Refinements
Positive Feedback: Users responded well to the overall flow and AI features.
Key Refinements: AI-driven tag suggestions were introduced prior to document uploads, improving accuracy and speed.
Handoff
With final refinements complete, I delivered all documentation under the tight deadline. This included visual designs, flowcharts, design files, and research findings ensuring both the client and developers had a clear roadmap for implementation.