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

Factory IoT dashboard and AI monitoring product design case study screen
  • 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

Factory IoT dashboard and AI monitoring product design case study screen

User Persona

User Persona

Factory IoT dashboard and AI monitoring product design case study screen
Factory IoT dashboard and AI monitoring product design case study screen
Factory IoT dashboard and AI monitoring product design case study screen
Factory IoT dashboard and AI monitoring product design case study screen

Product Architecture

Product Architecture

Factory IoT dashboard and AI monitoring product design case study screen

Wireframe

Wireframe

Factory IoT dashboard and AI monitoring product design case study screen

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.

Factory IoT dashboard and AI monitoring product design case study screen
Factory IoT dashboard and AI monitoring product design case study screen
Factory IoT dashboard and AI monitoring product design case study screen
Factory IoT dashboard and AI monitoring product design case study screen

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.

Factory IoT dashboard and AI monitoring product design case study screen
Factory IoT dashboard and AI monitoring product design case study screen

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.

Factory IoT dashboard and AI monitoring product design case study screen
Factory IoT dashboard and AI monitoring product design case study screen

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.

Factory IoT dashboard and AI monitoring product design case study screen

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

What I Learned

What I Learned

This project taught me that industrial users need clear information hierarchy because they make decisions in seconds on busy factory floors. Designing both web and desktop products highlighted the importance of a shared design system to maintain consistency across platforms. User testing showed that innovative features like the 3D factory view should be refined rather than removed based on limited feedback.

This project taught me that industrial users need clear information hierarchy because they make decisions in seconds on busy factory floors. Designing both web and desktop products highlighted the importance of a shared design system to maintain consistency across platforms. User testing showed that innovative features like the 3D factory view should be refined rather than removed based on limited feedback.

This project taught me that industrial users need clear information hierarchy because they make decisions in seconds on busy factory floors. Designing both web and desktop products highlighted the importance of a shared design system to maintain consistency across platforms. User testing showed that innovative features like the 3D factory view should be refined rather than removed based on limited feedback.

I also learned that setup and onboarding flows must consider real-world physical environments, not just screen interactions. Finally, separating manager and technician experiences reduced complexity and improved user confidence, resulting in a more efficient and focused product for both roles.

I also learned that setup and onboarding flows must consider real-world physical environments, not just screen interactions. Finally, separating manager and technician experiences reduced complexity and improved user confidence, resulting in a more efficient and focused product for both roles.

I also learned that setup and onboarding flows must consider real-world physical environments, not just screen interactions. Finally, separating manager and technician experiences reduced complexity and improved user confidence, resulting in a more efficient and focused product for both roles.

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