Gold-Tech: Designing an IoT factory monitoring OS
Gold-Tech: Designing an IoT factory monitoring OS
Gold-Tech: Designing an IoT factory monitoring OS
Designed a factory IoT monitoring dashboard to simplify complex machine data, enabling faster decision-making, reducing monitoring time by 40%, and improving overall operational efficiency.
I designed an IoT-powered ecosystem that
gives factory owners real-time visibility,
reduces downtime, and improves overall operational health.
Service
Industry 4.0
Industry 4.0
Client
Gold Tech
Gold Tech
What I Do
Web Dashboard, Mobile
Web Dashboard, Mobile

Product Design
IOT Design
Figma AI
Factory App
Sass Platform
Product Design
IOT Design
Figma AI
Factory App
Sass Platform
About this project
About this project
About this project
Modern factories generate massive real-time data through IoT systems. However, most platforms fail to present this data in a usable way, leading to confusion and delayed decisions.This project focused on designing a scalable, intuitive dashboard system that transforms raw machine data into meaningful insights and improves operational efficiency.
Modern factories generate massive real-time data through IoT systems. However, most platforms fail to present this data in a usable way, leading to confusion and delayed decisions.This project focused on designing a scalable, intuitive dashboard system that transforms raw machine data into meaningful insights and improves operational efficiency.
Problem
Manufacturing teams rely on WhatsApp messages, spreadsheets, and manual inspections to track machine health. This leads to delayed issue detection, production downtime, and poor visibility into factory performance.
Manufacturing teams rely on WhatsApp messages, spreadsheets, and manual inspections to track machine health. This leads to delayed issue detection, production downtime, and poor visibility into factory performance.
Design Challenges
How might we design a unified industrial IoT platform that gives factory managers and technicians real-time visibility into machine health, enables fast issue identification, and reduces unplanned downtime — across both a web platform and a desktop OS?
How might we design a unified industrial IoT platform that gives factory managers and technicians real-time visibility into machine health, enables fast issue identification, and reduces unplanned downtime — across both a web platform and a desktop OS?
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 (Product Designer)
Product Manager, Engineers
My role
Senior UX/ Product Designer
Tools
Figma, Notion, FigJam, AI Tools
Timeline
4 week
Two Products, One System
Two Products, One System
Two Products, One System
Web Platform
Browser-based dashboard for factory managers. Provides high-level monitoring, zone management, device configuration, manufacturing plans, alerts, and analytics reporting.
Browser-based dashboard for factory managers. Provides high-level monitoring, zone management, device configuration, manufacturing plans, alerts, and analytics reporting.
Real-time IoT floor visualisation (3D)
Zone & device management
Alert center & notifications
Analysis & reporting
Manufacturing plans
Real-time IoT floor visualisation (3D)
Zone & device management
Alert center & notifications
Analysis & reporting
Manufacturing plans
Desktop OS
Installed desktop application for on-floor operators and technicians. Focuses on task execution, machine health details, maintenance workflows, and setup.
Installed desktop application for on-floor operators and technicians. Focuses on task execution, machine health details, maintenance workflows, and setup.
Operator task management
Machine health dashboard
Maintenance scheduling
Setup & technician config
Reports & scheduling
Operator task management
Machine health dashboard
Maintenance scheduling
Setup & technician config
Reports & scheduling
Style Guide
Style Guide
Research was conducted with factory managers and floor technicians across manufacturing environments to understand how they currently monitor machines, respond to issues, and coordinate maintenance.
Research was conducted with factory managers and floor technicians across manufacturing environments to understand how they currently monitor machines, respond to issues, and coordinate maintenance.
Research was conducted with factory managers and floor technicians across manufacturing environments to understand how they currently monitor machines, respond to issues, and coordinate maintenance.
Methods Used
Contextual interviews with factory managers
Observation sessions on factory floors
Task analysis of existing monitoring tools
Journey mapping for both user roles
Contextual interviews with factory managers
Observation sessions on factory floors
Task analysis of existing monitoring tools
Journey mapping for both user roles
Key artifacts produced
UX research notes & synthesis
User journey map (Factory Manager)
User journey map (Technician)
User flow diagrams
Role-based persona definitions
UX research notes & synthesis
User journey map (Factory Manager)
User journey map (Technician)
User flow diagrams
Role-based persona definitions
Key Design Decisions
Key Design Decisions
Critical information first
Critical information first
In industrial environments, operators cannot afford to hunt for data. High-priority alerts, machine status indicators, and always appear at the top of every view with clear colour-coded severity levels.
In industrial environments, operators cannot afford to hunt for data. High-priority alerts, machine status indicators, and always appear at the top of every view with clear colour-coded severity levels.
Role-based views
Role-based views
Factory managers see strategic overviews and trend data. Technicians see task queues and machine-level diagnostics. The same data, optimised for each role's context and decision needs.
Factory managers see strategic overviews and trend data. Technicians see task queues and machine-level diagnostics. The same data, optimised for each role's context and decision needs.
Reduce cognitive load
Reduce cognitive load
Complex factory data is visualised through clear charts, colour indicators, and health scores — never raw numbers alone. The 3D floor view gives spatial context that tables and lists cannot provide.
Complex factory data is visualised through clear charts, colour indicators, and health scores — never raw numbers alone. The 3D floor view gives spatial context that tables and lists cannot provide.
Action-oriented flows
Action-oriented flows
Every alert, machine issue, and anomaly has a clear next action — assign, acknowledge, escalate, or resolve. No dead ends. Status tracking ensures accountability across the entire workflow.
Every alert, machine issue, and anomaly has a clear next action — assign, acknowledge, escalate, or resolve. No dead ends. Status tracking ensures accountability across the entire workflow.
User Journey
User Journey

User Persona
User Persona




Product Architecture
Product Architecture

Wireframe
Wireframe

Design System
Design System
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 Outcome
Final Outcome
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.


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.

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.
30%
Faster through improved dashboard hierarchy
Faster through improved dashboard hierarchy
40%
Reduced missed alerts
Reduced missed alerts
25%
Machine issue detection improved
Machine issue detection improved
35%
Improved operational workflow efficiency
Improved operational workflow efficiency