Cutting diagnostic time from minutes to seconds

Cutting diagnostic time from minutes to seconds

By creating a fault detection flow to eliminate trial & error while troubleshooting.

By creating a fault detection flow to eliminate trial & error while troubleshooting.

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CLIENT TYPE

Industry automation company

PROJECT TYPE

UI/UX for SMT line machines

YEAR

2025

PROJECT ROLE

Product & visual designer

PROJECT CONTRIBUTION

Stakeholder analysis

Systems thinking

Information architecture
Rapid prototyping

User interaction & experience design

Visual design & content creation

3D modeling & rendering

TOOLS

Figma

Rhinoceros 3D

Adobe Photoshop
Adobe Illustrator

HELIO HMI Management System

COLLABORATORS

Sanya Gupta,
Product & visual designer

Here's the backstory
in 06 points

01

The machine

This is an approximation* of one of BlackBox Factories' SMT Line Machines. It assembles tiny components that go in your phone, earphones & laptops.

*Actual machine undisclosed owing to NDAs.

02

The context

It had 16 doors - 4 on each side. If any of the doors are open, the machine considers that an error & gets paused automatically.

03

Errors weren't the problem,
finding them was

Without any feedback or dashboard, the machine operators had to check every door. This resulted in:

Increased machine downtime

Decreased production rate

Increased company expense

04

Our playground

The blank top right corner of their iPad dashboard on was what we had to communicate the status of the doors.

05

Our goals

🔓

🔓

🔓

Indicate open/close position of all 16 doors.

📍

📍

📍

Indicate precise position of open doors for error resolution.

📄

📄

📄

Indicate support pathway in case open/close detection is faulty.

06

User flow

Here's how we did it in 07 iterations

01

We tried unfolding the machine

Thumbnail was too small

Machine operators found it difficult to corelate the 2D representation to the 3D machine

02

We tried talking in the same language as engineers - isometry

Thumbnail was still too small

The labels were not effective at distinguishing between the front and rear at a glance

03

We took what worked & added some more

Thumbnail size was good

Human figure clarified the front vs the rear of the machine

Showing two sides at a time made it confusing to know which side was which - was “right” the right of the machine or the right of the person, since they were both opposing each other

04

Ortho for the win

Showing one side at a time helped clarify which was the right & left side of the machine

It was hard to tell if there was an error or not especially if the side in view did not have an error

05

Louder, bigger, bolder

Large orange warning made it easy to spot on the crowded dashboard when there was an error

The darker background improved visibility

06

Factoring edge cases

What if all the machine doors are closed but it still shows an error?

The problem - a faulty proximity sensor, now resolved

07

Last minute graphic changes & developer handoff

We created a working prototype of the flow in Figma (with good Figma hygiene) for communicating it to the engineers.

We then segregated each individual element from the screen into SVGs for importing into HELIO's HMI Development Software.

& voila!

Try it yourself!

Can you close all the doors?

Can you close all the doors?

Click on the orange exclamation mark (!) for the current view to simulate closing the machine doors in the real world.

The result

01

Reduced troubleshooting time

Locating the fault now takes seconds instead of checking up to 16 doors manually.

02

Reduced cognitive load

Clear spatial mapping removes guesswork & lowers stress in high-stakes environments.

03

Reduced machine downtime & expense to the company

Built in support pathway for edge cases eliminates having to find dig through service manuals.

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© SHREYANS HARSORA 2025
ALL RIGHTS RESERVED

USE THE PR0M0 C0DES BEL0W
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© SHREYANS HARSORA 2025
ALL RIGHTS RESERVED

USE THE PR0M0 C0DES BEL0W
T0 RECEIVE A FREE REPLY

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