Timeline: April 2023 - May 2023

Type: UX Design, Research

Platform: Mobile application

Role: UX Designer

Deliverables: UI/UX Design, Research

GaleRider delivery riders are frustrated by the need to frequently adjust filter preferences when using the delivery filter. They are also unaware of added filters and whether they have been applied, which can impact their earning potential.

The main objective of this task was to improve the filtering experience and earning potential of deliver riders.

During the research phase, I conducted a user interview with a few delivery riders to understand their experiences and pain points. Later on, I used Google Analytics to find out the most commonly used filters on the app. Based on the gathered information, I started with lo fi / low-fidelity sketches and used that as an early POC to gather feedback from relevant stakeholders. After multiple rounds of iteration, I used the lo fi sketches and created a hi fi prototype which is then tested again with several users for validation.

First, I conducted interviews with several delivery riders and their managers to get a basic idea how the filter was being used by our delivery riders

After that, I also gathered data from Google Analytics where we discovered that delivery riders had a specific set of filters to view the “best” delivery orders in terms of price and delivery feasibility.

By gathering both qualitative and quantitative data, I was able to understand the problem more.

In short, GaleRider delivery riders have a preset filter in mind to find the best orders at any given time. However, the positioning and layout of the filter menu caused a lot of frustration for riders, who found their preferences reset every time they opened the app. Additionally, riders were unsure whether filters were being applied to their list of orders, which could significantly impact their earning potential.

Based on the riders' usage data and general feedback, I started with lo fi sketches and went through multiple rounds of iterations.

These sketches were used to get initial feedback from relevant stakeholders.

I then converted the sketches into a hi fi design as seen below:

After completing the hi-fi prototype, I used it to test on several candidates to validate the design. Here are some key findings from it:

Users were more aware that filters were applied

Users found it extremely convenient that the most popular filter options were placed at the top

Users were able to select more service types

The test validated that the redesign solved the pain points for GaleRider delivery riders. It allowed them to save their filter preferences, making it easier to find the best orders at any given time. Additionally, they were now able to see which filters were being applied, which helped them to maximize their earning potential. The simple and intuitive design made the app more user-friendly, resulting in a better experience for GaleRider delivery riders.