Gold-Tech Factory Monitoring OS
Gold-Tech Factory Monitoring OS
Gold-Tech Factory Monitoring OS
I designed an IoT-powered ecosystem that gives factory owners real-time visibility, reduces downtime, and improves overall operational health.
I designed an IoT-powered ecosystem that
gives factory owners real-time visibility,
reduces downtime, and improves overall operational health.
I designed an IoT-powered ecosystem that gives factory owners real-time visibility, reduces downtime, and improves overall operational health.
Service
Web App Industrial IoT
Web App Industrial IoT
Client
Gold Tech
Gold Tech
What I Do
Web Dashboard, Mobile
Web Dashboard, Mobile



Product Design
IOT Design
03 Figma
Factory App
Sass Platform
Product Design
IOT Design
03 Figma
Factory App
Sass Platform
Product Design
IOT Design
03 Figma
Factory App
Sass Platform
About this project
About this project
About this project
Gold-Tech Factory OS is a real-time monitoring platform built for manufacturing industries. It enables operators, supervisors, and plant managers to track machine performance, respond to alerts, and make data-driven decisions — all in a single unified system.
Gold-Tech Factory OS is a real-time monitoring platform built for manufacturing industries. It enables operators, supervisors, and plant managers to track machine performance, respond to alerts, and make data-driven decisions — all in a single unified system.
Gold-Tech Factory OS is a real-time monitoring platform built for manufacturing industries. It enables operators, supervisors, and plant managers to track machine performance, respond to alerts, and make data-driven decisions — all in a single unified system.
Problem
Factories rely on scattered tools, manual logs, and outdated dashboards. Users juggle between screens to understand machine health, task assignments, downtime reasons, and shift performance.
Factories rely on scattered tools, manual logs, and outdated dashboards. Users juggle between screens to understand machine health, task assignments, downtime reasons, and shift performance.
Factories rely on scattered tools, manual logs, and outdated dashboards. Users juggle between screens to understand machine health, task assignments, downtime reasons, and shift performance.
Solution
Gold-Tech unifies real-time monitoring, predictive alerts, and technician workflows into one clean IoT platform. It turns reactive maintenance into proactive insights, reducing downtime and improving operational efficiency.
Gold-Tech unifies real-time monitoring, predictive alerts, and technician workflows into one clean IoT platform. It turns reactive maintenance into proactive insights, reducing downtime and improving operational efficiency.
Gold-Tech unifies real-time monitoring, predictive alerts, and technician workflows into one clean IoT platform. It turns reactive maintenance into proactive insights, reducing downtime and improving operational efficiency.
Impact
The goal of the Gold-Tech Factory Monitoring OS project was to create a user-centered, intuitive system that allows operators and supervisors to monitor machines efficiently, respond quickly to alerts, and make informed decisions to reduce downtime and improve productivity.
The goal of the Gold-Tech Factory Monitoring OS project was to create a user-centered, intuitive system that allows operators and supervisors to monitor machines efficiently, respond quickly to alerts, and make informed decisions to reduce downtime and improve productivity.
The goal of the Gold-Tech Factory Monitoring OS project was to create a user-centered, intuitive system that allows operators and supervisors to monitor machines efficiently, respond quickly to alerts, and make informed decisions to reduce downtime and improve productivity.
Team
Client
Me (UX Designer)
Product Manager, Engineers
My role
Lead UI/UX Designer
Tools
Figma, Notion, FigJam, AI Tools
Timeline
4-5 week
The Challenges:
The Challenges:
The Challenges:
Operators struggled with alert noise and had to switch between multiple screens to complete basic tasks.
Operators struggled with alert noise and had to switch between multiple screens to complete basic tasks.
Supervisors lacked consolidated insights for shift planning and performance tracking.
Supervisors lacked consolidated insights for shift planning and performance tracking.
Leadership needed a scalable, modular UI that could expand with new sensors and IoT devices.
Leadership needed a scalable, modular UI that could expand with
new sensors and IoT devices.
The approach:
The approach:
The approach:
Human‑Centered Architecture
Human‑Centered Architecture
Designed clear workflows for operators and supervisors based on interviews and day‑in‑the‑life shadowing.
Designed clear workflows for operators and supervisors based on interviews and day‑in‑the‑life shadowing.
Calm, Industrial‑Friendly UI
Calm, Industrial‑Friendly UI
Soft tones, clean grids, and clear alert hierarchy create a stress‑free monitoring environment.
Soft tones, clean grids, and clear alert hierarchy create a stress‑free monitoring environment.
Modular System Design
Modular System Design
A scalable UI library built for dashboards, mobile, and large‑screen factory displays.
A scalable UI library built for dashboards, mobile, and large‑screen factory displays.



Key Research Insights
Key Research Insights
Key Research Insights
Operators struggled with scattered machine information
Operators struggled with scattered machine information
I waste time switching screens just to confirm if the machine stopped due to overload or sensor error.
I waste time switching screens just to confirm if the machine stopped due to overload or sensor error.
Supervisors needed trends, not raw numbers
Supervisors needed trends, not raw numbers
Supervisors were overwhelmed with daily logs and CSV exports. What they actually needed was shift-level patterns, performance trends, and upcoming risks.
Supervisors were overwhelmed with daily logs and CSV exports. What they actually needed was shift-level patterns, performance trends, and upcoming risks.
Alert was a major problem
Alert was a major problem
Both operators and managers reported that machines sent too many non-critical alerts, causing them to ignore notifications over time.
Both operators and managers reported that machines sent too many non-critical alerts, causing them to ignore notifications over time.
Different roles needed different dashboards
Different roles needed different dashboards
An operator cares about today, while a supervisor cares about week/month performance. Mixing them created confusion.
An operator cares about today, while a supervisor cares about week/month performance. Mixing them created confusion.
On-floor navigation required mobile-first thinking
On-floor navigation required mobile-first thinking
Operators often accessed the system while walking, wearing gloves, or under noise, meaning traditional dashboards didn’t work.
Operators often accessed the system while walking, wearing gloves, or under noise, meaning traditional dashboards didn’t work.
Data consistency issues caused trust problems
Data consistency issues caused trust problems
Users complained that they didn't trust certain values due to inconsistent sensor readings or delays.
Users complained that they didn't trust certain values due to inconsistent sensor readings or delays.
Process
Process
Process
Research & Strategy
1 WEEK
Research
User Persona
Empathy map
Information Architecture
Design & Branding
2 WEEK
Strategy
Wireframing
UI Design
Visual Design
Delivery Execution
3 WEEK
Development
Testing
Finalization
Prototype
User Persona
User Persona
User Persona






Product Architecture
Product Architecture
Product Architecture



Empathy Mapping
Empathy Mapping
Empathy Mapping



Pain Points (Operator)
Pain Points (Operator)
Pain Points (Operator)
Hard to track multiple machines while working on tasks
Must switch screens to find basic machine info
Alerts look similar and are easy to miss
Hard to monitor machines while moving around the factory
No clear priority on which machine needs urgent attention
Hard to track multiple machines while working on tasks
Must switch screens to find basic machine info
Alerts look similar and are easy to miss
Hard to monitor machines while moving around the factory
No clear priority on which machine needs urgent attention
Opportunities (Operator)
Opportunities (Operator)
Opportunities (Operator)
One single dashboard showing all machine status
Highly visible, color-coded critical alerts
Automatic logging reduces workload
Minimalistic, easy-to-scan interface
Mobile-friendly access during movement
One single dashboard showing all machine status
Highly visible, color-coded critical alerts
Automatic logging reduces workload
Minimalistic, easy-to-scan interface
Mobile-friendly access during movement
Pain Points (Supervisor/Manager)
Pain Points (Supervisor/Manager)
Pain Points (Supervisor/Manager)
They receive raw numbers, not insights
Hard to identify recurring machine failures
Reporting requires manual effort
Cannot compare machine performance across shifts
Lack of custom dashboards tailored to managerial needs
They receive raw numbers, not insights
Hard to identify recurring machine failures
Reporting requires manual effort
Cannot compare machine performance across shifts
Lack of custom dashboards tailored to managerial needs
Pain poits (Operator)
Pain poits (Operator)
Pain poits (Operator)
Trend-based dashboards (downtime, output, temperature)
Predictive maintenance alerts
Automated report generation (PDF/CSV)
Machine health score for planning and budgeting
Insights for maintenance and workforce scheduling
Trend-based dashboards (downtime, output, temperature)
Predictive maintenance alerts
Automated report generation (PDF/CSV)
Machine health score for planning and budgeting
Insights for maintenance and workforce scheduling
Wireframe
Wireframe
Wireframe



Style Guide
Style Guide
Style Guide
A balanced mix of bold Colours, typography, subtle neutrals, and intuitive iconography ensures data is readable, actionable, and easy to scan in high-pressure factory environments.
A balanced mix of bold Colours, typography, subtle neutrals, and intuitive iconography ensures data is readable, actionable, and easy to scan in high-pressure factory environments.
A balanced mix of bold Colours, typography, subtle neutrals, and intuitive iconography ensures data is readable, actionable, and easy to scan in high-pressure factory environments.









Final designs
Final designs
Final designs
The final product delivers a seamless IoT monitoring experience that enables teams to act faster, prevent failures, and maintain continuous production. With clearer insights, reduced downtime, and higher technician efficiency, factories achieved stronger performance and a more predictable, data-driven operation.
The final product delivers a seamless IoT monitoring experience that enables teams to act faster, prevent failures, and maintain continuous production. With clearer insights, reduced downtime, and higher technician efficiency, factories achieved stronger performance and a more predictable, data-driven operation.
The final product delivers a seamless IoT monitoring experience that enables teams to act faster, prevent failures, and maintain continuous production. With clearer insights, reduced downtime, and higher technician efficiency, factories achieved stronger performance and a more predictable, data-driven operation.
Dashboard / Home Screen
Dashboard / Home Screen
The dashboard gives a quick, high-level overview of all machines with color-coded health cards and live summary metrics. Users can instantly spot issues through clear green/amber/red indicators and mini performance trends.
The dashboard gives a quick, high-level overview of all machines with color-coded health cards and live summary metrics. Users can instantly spot issues through clear green/amber/red indicators and mini performance trends.
The dashboard gives a quick, high-level overview of all machines with color-coded health cards and live summary metrics. Users can instantly spot issues through clear green/amber/red indicators and mini performance trends.
A Quick actions like “View Alerts” or “Add Device” make the dashboard both informative and actionable, helping teams respond faster.
A Quick actions like “View Alerts” or “Add Device” make the dashboard both informative and actionable, helping teams respond faster.
A Quick actions like “View Alerts” or “Add Device” make the dashboard both informative and actionable, helping teams respond faster.






Machine Detail
Machine Detail
This screen shows real-time machine metrics, historical trends, and predictive behavior in one place. Users can view alerts, maintenance history, and data patterns to understand the root cause of issues.
This screen shows real-time machine metrics, historical trends, and predictive behavior in one place. Users can view alerts, maintenance history, and data patterns to understand the root cause of issues.
This screen shows real-time machine metrics, historical trends, and predictive behavior in one place. Users can view alerts, maintenance history, and data patterns to understand the root cause of issues.
With quick actions like assigning technicians or scheduling maintenance, teams can act immediately without switching screens.
With quick actions like assigning technicians or scheduling maintenance, teams can act immediately without switching screens.
With quick actions like assigning technicians or scheduling maintenance, teams can act immediately without switching screens.
Operator Task
Operator Task
The operator task screen shows a clear list of assigned tasks such as inspections, machine checks, or routine maintenance steps. Each task includes priority, due time, and the machine it belongs to, helping operators stay organized. Simple actions like “Start,” “Mark Complete,” or “Add Notes” keep workflows smooth and trackable. This screen ensures operators always know what to do next and reduces delays on the factory floor.
The operator task screen shows a clear list of assigned tasks such as inspections, machine checks, or routine maintenance steps. Each task includes priority, due time, and the machine it belongs to, helping operators stay organized. Simple actions like “Start,” “Mark Complete,” or “Add Notes” keep workflows smooth and trackable. This screen ensures operators always know what to do next and reduces delays on the factory floor.
The operator task screen shows a clear list of assigned tasks such as inspections, machine checks, or routine maintenance steps. Each task includes priority, due time, and the machine it belongs to, helping operators stay organized. Simple actions like “Start,” “Mark Complete,” or “Add Notes” keep workflows smooth and trackable. This screen ensures operators always know what to do next and reduces delays on the factory floor.






Technician / Device Setup
Technician / Device Setup
The setup flow makes onboarding devices easy with QR pairing, manual entry, and live connection status. Users can assign machines, configure roles, and manage permissions for technicians, operators, and managers. This guided process reduces errors and keeps the IoT environment secure and organized.
The setup flow makes onboarding devices easy with QR pairing, manual entry, and live connection status. Users can assign machines, configure roles, and manage permissions for technicians, operators, and managers. This guided process reduces errors and keeps the IoT environment secure and organized.
The setup flow makes onboarding devices easy with QR pairing, manual entry, and live connection status. Users can assign machines, configure roles, and manage permissions for technicians, operators, and managers. This guided process reduces errors and keeps the IoT environment secure and organized.
Reports / Analytics
Reports / Analytics
Reports visualize key metrics like performance trends, downtime, and alert frequency across custom time ranges. Predictive risk indicators help managers plan maintenance before failures occur. Users can export insights as PDF/CSV to share with teams and support data-driven decisions.
Reports visualize key metrics like performance trends, downtime, and alert frequency across custom time ranges. Predictive risk indicators help managers plan maintenance before failures occur. Users can export insights as PDF/CSV to share with teams and support data-driven decisions.
Reports visualize key metrics like performance trends, downtime, and alert frequency across custom time ranges. Predictive risk indicators help managers plan maintenance before failures occur. Users can export insights as PDF/CSV to share with teams and support data-driven decisions.






Settings / Admin Panel
Settings / Admin Panel
The settings panel lets admins configure alert thresholds, maintenance schedules, and user permissions. Role-based access ensures the right people see the right features. This area keeps the system flexible, secure, and tailored to each factory’s operational needs.
The settings panel lets admins configure alert thresholds, maintenance schedules, and user permissions. Role-based access ensures the right people see the right features. This area keeps the system flexible, secure, and tailored to each factory’s operational needs.
The settings panel lets admins configure alert thresholds, maintenance schedules, and user permissions. Role-based access ensures the right people see the right features. This area keeps the system flexible, secure, and tailored to each factory’s operational needs.



Results & Impact
Results & Impact
Results & Impact
Every minute of machine downtime meant revenue loss. Gold-Tech needed a system that improved reaction time, decision-making, and task transparency.
Every minute of machine downtime meant revenue loss. Gold-Tech needed a system that improved reaction time, decision-making, and task transparency.
Every minute of machine downtime meant revenue loss. Gold-Tech needed a system that improved reaction time, decision-making, and task transparency.
20%
Reduction downtime
25%
Higher shift productivity
24%
Faster dailly operator task
27%
Faster alert response time