Latest Schneider Projects
Collection of works done for Schneider
B2B
Industrial Automation
Role
Senior UX & UI Designer
Timeline
Latest
team
Developers, Marketers, Product Owners
platform
Web
Situation
At Schneider Electric, I worked across complex industrial automation, device management, motion control, edge computing, AI, sustainability, and enterprise software experiences. Many of these products involved technically complex workflows, multiple device types, configuration-heavy tasks, and diverse global users. The broader challenge was to make these sophisticated industrial systems more intuitive, scalable, connected, and increasingly intelligent.
Task
As a Senior UX and UI Designer, my role was to translate complex industrial and technical requirements into intuitive user experiences and scalable product solutions. I was responsible for driving UX strategy, product discovery, workflow design, prototyping, AI exploration, stakeholder alignment, and end-to-end product experiences across both existing products and 0→1 initiatives.
Action
I worked across 14+ strategic initiatives, including:
AI and intelligent automation: Led the 0→1 design of an AI-powered HMI Migration Tool and explored AI-assisted automation through the Automation CoPilot showcased at Hannover Messe.
Device and asset management: Designed experiences across UDM, EADM 3.5, EADM 4.0, and APM Device Registration, simplifying device maintenance, firmware management, diagnostics, onboarding, and lifecycle workflows.
Industrial configuration and motion: Improved experiences for SoMove ATS490 and Lexium Drive Management, helping simplify configuration, commissioning, monitoring, and maintenance workflows.
Enterprise software transformation: Contributed to SET, Schneider's Software Experience Transformation initiative, helping establish more consistent and scalable software experiences across products.
Plant engineering: Designed experiences for EcoStruxure Plant Architecture Builder, supporting complex plant architecture planning and visualisation workflows.
Edge and connected systems: Worked on Intelligent Edge and SIO8 experiences involving device connectivity, monitoring, diagnostics, and edge-based intelligence.
Sustainability: Designed a Sustainability Index experience to help users understand and act on sustainability performance.
Future-facing UX: Explored adaptive and predictive UX concepts using AI, user context, and behavioural signals to create more personalised industrial workflows.
Across these initiatives, I collaborated with global cross-functional teams spanning product, engineering, industrial automation, UX, business, and domain experts. I used user research, journey mapping, information architecture, interaction design, prototyping, design systems, and iterative validation to turn technically complex requirements into usable product experiences.
Result
The work enabled Schneider teams to move toward simpler, more consistent, scalable, and intelligence-driven industrial software experiences across the product ecosystem.
Key outcomes included:
Delivered 50+ user interfaces across 20+ workflows.
Validated 17 UX prototypes across AI, supply chain, spare-parts intelligence, and adaptive assistance concepts.
Architected Agentic AI frameworks across 6+ global cross-functional teams, enabling modular feature development.
Led a 0→1 AI-powered HMI migration concept with potential to unlock new commercial opportunities from the existing industrial install base.
Generated significant market interest around the Automation CoPilot, with 240 customers expressing interest at Hannover Messe.
Earned Schneider Electric's Exceptional Impact rating in 2025, the company's highest individual performance distinction.
I transformed complex industrial automation workflows into intuitive, scalable, and increasingly AI-powered experiences, spanning 14+ Schneider Electric initiatives across device management, motion, automation, enterprise software, edge computing, sustainability, and intelligent UX.
Check Tasks
UX Goal
Help technicians turn an overwhelming task backlog into an achievable daily plan.
The technician starts from the Personal Maintenance Dashboard and selects Check Tasks.
Instead of presenting another long maintenance list, the experience introduces a lightweight personal task planner.
UX Story
“I know there are maintenance tasks I could be doing, but which ones should I take on today?”
The task experience answers that question by surfacing:
Weekly Task Goals → gives the technician a manageable target.
Total Tasks Available → shows the size of the available workload.
Today's Tasks → creates immediate focus.
Upcoming Deadlines → prevents important work from being forgotten.
Previous Pending Tasks → brings unfinished work back into view.
The technician can then drag tasks into today's To-Do list, creating their own workload rather than being forced into a rigid sequence.
Why drag-and-drop?
The technician has contextual knowledge that the system may not.
For example:
“I'm already working near the HVAC system, so I'll take the filter inspection now.”
The interaction therefore gives the technician agency over task planning while still exposing system-generated priorities.
Task cards provide just enough decision information
Each task communicates:
What: Check HVAC Filters
How long: 15 min
Difficulty: Easy
What I need: Screwdriver + Replacement Filters
What I'll gain: Skills XP
This reduces the mental effort of deciding whether a task is realistic to take on.
UX principle
Plan → Commit → Execute
Rather than:
See giant backlog → mentally prioritize → remember → execute
The UX Problem
Maintenance technicians often work in environments where priorities constantly compete:
Critical equipment requires immediate attention.
Preventive maintenance tasks can easily get deprioritized.
Technicians need to know what to work on next.
Their expertise and performance are often measured through operational KPIs, rather than helping them understand their own growth.
Completing maintenance tasks generates valuable knowledge and performance data, but that feedback loop is often invisible to the technician.
The design opportunity:
Create a personal layer within the maintenance dashboard that helps technicians plan their work, build skills, and understand their performance, without distracting them from critical plant operations.
Personal Stats
Once the technician has completed tasks, the experience closes the feedback loop.
UX Goal
Show technicians that their maintenance work is contributing to measurable professional growth.
The interaction begins with a lightweight personal summary:
“Your Task Resolution capabilities are up by 20% since last month.”
The dashboard then surfaces several dimensions of progress:
1. Streak
7-day streak
Creates a sense of continuity around completing maintenance work.
2. Skill progression
Level 4 → Skilled Technician
Instead of simply showing task completion counts, the system translates completed work into a more meaningful concept:
experience → skills → progression
3. Weekly goal
3 / 10 tasks
This connects the personal statistics screen back to the task-planning experience.
4. Efficiency
24.5 min average task completion
The technician can see how efficiently they perform over time.
5. Quality/feedback
87/100 Efficiency Score
4.8/5 Customer Feedback Rating
This creates a broader view of performance rather than optimizing solely for speed.