Keeping the grid running through trust & transparency.
National Grid
9 months
Research & Design
Product Designer
Background
Demand Planning / Material Track & Trace
Supply chain disruptions revealed inefficiencies in National Grid’s material and inventory management, making it difficult to forecast demand and track critical components. To improve efficiency and reduce operating costs, they invested in digital solutions to streamline planning and enhance material visibility. m360 is a unified platform designed to optimize inventory management and support the company’s energy transition.
Our Impact
Measurable Results
+80% increase
in trust in data by 100+ users including Storekeepers and Warehouse Supervisors, Planners, and Forecasters.
+30% increase
in participation by the National Grid’s CEN, Customer Engagement Network.
Q4 2025
expected launch of product beyond MVP and incorporation of AI in forecasting tools
My Contributions
I was responsible for creating all of the designs while supporting research.
1
Create designs to and communicate features and functionality to stakeholders
2
Facilitate and support in-person user research, including conducting interviews, usability tests, and synthesis.
3
Collaborate with engineers to discuss technical feasibility and align on functional requirements
UX Research
Disconnected tools, scattered data, and inefficient workflows drive workarounds and communication gaps.
Lack of Transparency
Functional groups often operate in silos. While some coordination efforts exist, there is no common understanding of activities/risks amongst groups or what/how each groups uses common technology and data.
No Single Source of Truth
Critical data is scattered across systems, tools, and informal sources, leading to reliance on direct communication.
Current Need for Workarounds
Current tools can be slow and challenging to use for some (due to various factors such as age of technology, limited training, ineffective UX, etc.), resulting in various workarounds.
Persona Development and User Mapping
Solution
m360 needs to be an accurate source of information that provides users a view into when and how much of each material is needed.
We synthesized findings from research and used dot voting to prioritize key issues and solutions. Through iterative ideation and wireframing, we continuously validated designs with users and stakeholders to ensure alignment and refine the product.
Low Fidelity Wireframes
User Testing
01
Orders
The Orders page centralizes all order types into one interface, providing clear visibility into statuses and improving transparency with a refined information hierarchy so users are easily able to find information.
02
Materials
Materials merges multiple information sources into one view, enhancing transparency while ensuring users can quickly access crucial details.
03
Forecasting
The Forecasting feature allows users to input specific materials and analyze current supply and demand alongside historical data to accurately forecast future needs. This eliminates the need for manual spreadsheet workarounds and cross-referencing heavy datasets.
