Machine Guidance Platform Case Study

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Andorean - Machine Guidance Platform

Designing solutions for optimizing mining efficiency and productivity

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Role - Product Designer

Duration - 2 months

Tools - Figma, Figjam, Notion, Affinity Designer

Impact - Improves collaboration, simplifies workflows, and enables remote management

Skills - Prototyping, Visual Design, User Research, Interaction Design

Disclaimer: This work is under an NDA, and all designs, components, and some approaches are modified for a case study view. Please contact me for further information.

Credits to team members

BACKGROUND

To fully understand this tablet application, it is recommended to read the case study of SaaS for Connected Operations. Read case study ->

This tablet application is part of a larger SaaS platform for Connected Operations, tailored specifically for on-site use by vehicle operators. Designed for mining and construction environments, the app allows operators to navigate through objects, receive real-time alerts, and monitor site activities. It provides a streamlined interface for overseeing operations directly from the application.

To fully understand this tablet application, it is recommended to read the case study of SaaS for Connected Operations.

Read case study ->

PROBLEM

Despite the existence of the web application version, the main problem is that on-site vehicle operators often lack real-time, accessible information while navigating the mining or construction site. This leads to delays in decision-making, increased risks, and inefficient operations. This app aims to solve this issue by providing operators with a portable tablet app to access navigation, alerts, and live monitoring directly from the field to ensure quicker responses, improved safety, and better alignment with overall site operations.

Product goal: It should be centered on the host vehicle, showing equipment, personnel, and hazards in the surrounding area. The display should incorporate traffic and alerting indicators.

PROCESS

The overall process took 2 months and went through 2 iterations.

Iteration 1

Date: 2024 June

The first iteration aimed to adapt core features from the web app to a tablet-friendly layout, and put required data on a smaller screen. We also conducted interviews with operators to gather insights on their specific needs and requirements for real-time navigation and monitoring.

Methods used: Brainstorming with the team --> User Interview -> Design walkthrough -> Usability testing

Challenge:

Adapting the web-app interactions to be effective and easy to use on a tablet.
Balancing the display of complex, real-time data on a limited screen space without overwhelming the user.

Result:

The main buttons located at the bottom right were too small for the operators.
Pop-up windows were also too small.
Alert pop-ups were too small for large data-driven alerts.

Iteration 2

Date: 2024 July

After conducting usability testing on the previous iteration, this version concludes with the final delivery by providing more structured navigation and UI improvements.

Methods used: Information Architecture -> Usability Testing -> Design walkthrough

Challenge: Prioritizing the operators who are often driving and have limited capacity for complex interactions was challenging. Understanding their natural gestures and behavior while driving was crucial, as they needed an intuitive experience with minimal distraction.

Result:

The alert section is more effective in providing more data and information
The re-structure of the app menu navigation was more effective slightly bigger size and revised icons.

PRODUCT FEATURES

RULE ALERT

Receive alerts if the vehicle exceeds any set limits

SURROUNDING ALERT

Receive alerts regarding surrounding actions

SELECT OBJECT & VIEW INFO

Brief information about the objects on the map

DIRECTIONS

Provides directions to a selected object or destination

MONITOR OBJECTS

Toggle on & off to monitor objects on the map

ANNOTATION

Set road maps on the map

RESULTS

REFLECTION

I learned that adapting heavy data and complex information to a small tablet screen requires careful consideration of layout and prioritization. Translating web app features to a tablet involves balancing functionality with simplicity, ensuring that crucial data is easily accessible without overwhelming the user. This process taught me how to design for limited screen space while maintaining clarity and usability.

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