top of page
TOMTOM - 2020

FUSION REDESIGN

  • Reduced training time to 12-15%

  • Significant increase in efficiency of importing data​

  • Reduced user's idle time to 1%

  • Routine tasks like sharing updates made super easy

thumb_big_tomtom.png

Product

Fusion is an online application designed to import and process Points of Interest (POIs) provided by vendors. For example, when McDonald's submits a list of its outlets within a country, Fusion imports this data, runs it through predefined scripts, and generates finalized POIs. These processed POIs then become visible to users on TomTom maps.

Problem

  • Unclear navigation: Users struggled to locate essential information due to ambiguous and poorly structured navigation.

  • Inconsistent screens: Screen designs lacked uniformity, causing confusion and cognitive overload.

  • Excessive motor activity: Frequent and unnecessary scrolling and other interactions resulted in user fatigue and slowed task completion.

  • Broken workflows: Disconnected workflows disrupted tasks, reducing productivity and efficiency.

Average time to work on the POIs was 3 to 4 days, while users expect importing and monitoring to take about an hour.

What users were saying?

"Every time I work on this app, I get confused. I always feel things are not in the place where I expect them to be"

- A. Jozwiak

“To make sure every POI is getting imported correctly, I need to switch through multiple pages and scroll through them at least 30, 40 times”

- Paulina O.

“Is there a way where I don't have to open multiple tabs in multiple browser windows and still do my job?”

- Payal Patole

My Role

I worked on this project solely where I redesigned the Fusion web application, streamlining the complex process of importing and managing Points of Interest (POI).

 

The initial design had usability challenges, including inconsistent screens, unclear navigation, excessive user effort, and broken workflows. Conducted comprehensive usability analysis, identified critical issues, and created an intuitive, consistent UI - significantly enhancing efficiency, reducing cognitive load, and empowering employees to process information quickly and effectively.

Research

I was provided with an early version of the interface - about 5 to 6 working pages - which, while falling short of usability standards and industry best practices, served as a valuable starting point to grasp the project’s complexity and scope.

To understand the existing system, I began with a detailed walkthrough from the SME and mapped out the workflows, identifying areas for improvement.

Flows

In order to fix motor activity, I checked the flows and improved them by minimizing repetitive steps, reducing clicks and showing relevant information together. 

Before

fusion_flow.png

After

fusion_flow_2.png
fusion_flow3.png

New Approach

While developing the flows, I observed a highly efficient approach. I proposed that instead of waiting for complete POI batches from vendors, we could allow entering individual POIs. This change would greatly minimize user idle time and enhance workflow efficiency.

Expert Review

I conducted an expert review to evaluate what was working well and what wasn’t, and followed it up with a cognitive walkthrough to pinpoint where users might struggle, how easily they could recover, and whether the overall experience supported their goals efficiently.

er_1.png

How might  I?

  • help users understand how to find the information they need?

  • reduce the physical effort required to monitor the import of POIs?

  • enable users to validate imported POIs efficiently?

  • clearly and accurately explain errors to users?

  • allow users to correct imported POI information?

  • let users make quick adjustments on the go?

Goal & Success Metrics

  • Our primary goal was to significantly reduce the time required for data import and validation, which originally took 2 to 3 days.

  • Next, I aimed to minimize the extensive user training period, which lasted up to 4 hours, and cut down the idle time of 1 to 2 days typically spent waiting during each import task.

  • Finally, we focused on reducing excessive motor effort, which involved more than 50 clicks and frequent scrolling per task.

Sketches

While the engineering team focused on databases, I engaged in the Crazy 8 Exercise and conducted various experiments. My aim was to minimize excessive text and present the information more effectively.

tomtom_sketches.png

Wireframes

I assessed the advantages and disadvantages of each design and moved on to create low-fidelity wireframes for user testing.

Fusion Dashboard

From

image.png
image.png
image.png

To

image.png
image.png
image.png

Usability Testing

I created a mid-high-fi clickable prototype for conducting user tests and it was specifically designed to evaluate key metrics. Such as the time taken to import data, the number of clicks required to complete tasks, and overall task completion time. The tests also assessed user understanding of the new navigation: their awareness of their current location, how to navigate backward and forward, and how easily they could recover from errors. Additionally, I evaluated whether the interface relied more on recognition or recall to support user efficiency.

“Monitoring incoming data was quite cumbersome but now my mind can process it with ease"
- A. Jozwiak
"I don't have to remember which window to open and which tab I was in before"
- Paulina O.

Results

While the engineering team developed and released software updates, we realized that we have achieved several key improvements.​

  • Drastically reduced training time: What earlier took 3 - 4 hours of training could now be completed in just 30 minutes, thanks to simplified workflows and clearer navigation.

  • Enabled single POI import: By redesigning workflows in collaboration with engineering, users could now import individual POIs instead of waiting for full vendor batches. This allowed TomTom to deliver quicker updates to customers - keeping us ahead of the competition.

  • Minimized idle time: With the ability to process smaller data chunks more frequently, user idle time dropped significantly to below 1%.

  • Improved task efficiency: Routine tasks like sharing updates with managers became much simpler. Instead of navigating multiple screens to collect data, users could now share a single screenshot that captured all necessary information.

bottom of page