About the project
Problem
Rideshare drivers have become increasingly more responsible for the cleanliness of their vehicles to ensure the safety of themselves and their passengers. This increased repsonsibility takes away valuable time that drivers used to have to gain more equity.
Solution
A far-UVC sanitizing ecosystem comprised of two devices that provide rideshare drivers with a harmless, intuitive, and effective tool that promotes a clean and comfortable vehicle environment. The devices actively sanitize the air and surfaces for an unmatched level of sanitization with minimal human interaction.
Role: UX Engineer
Year: 2020
Target Audience
Scope
◽️ Ride share drivers
◽️ Effective sanitization process
◽️ Reliable to protective themselves and their customers
We set to create an ecosystem that :
is intuituve and effective
promotes cleanliness and comfort
eliminates the need for single-use wipes
◽️ People feel cleaning habits and sanitation precautions should stay long after the end of the Pandemic.
◽️ People like seeing the efforts of others mitigating the spread of COVID-19.
◽️ Cleaning the car interior is important to people, but very difficult to perform.
Insights
◽️ IT ALL COMES DOWN TO THIS
◽️ Competitive Analysis
◽️ An Ecosystem
◽️ ABUV
Used to maintain a broader area within the vehicle from an overhead vantage point.
Pairs well with ABUV. It can be used as a handheld device to reach any unprotected areas.
◽️ Node
◽️ Ridr App
The driver side provides device data and automated operation methods. The rider side shows the device’s sanitation status, as well as educates them about far-UVC.
Scan for the prototype
Scan for the prototype
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PROcess
Observation
Gathering first-hand data by observing people go in and out of stores and taking note of how they are conducting themselves. We made special note of how often we saw some sort of hand sanitizing, at which point they put on or took off a mask and much more.
Survey
Both gathering quantitative and qualitative data by conducting a multi question, short response and multiple choice survey. We distributed this to a subreddit as well as people we knew who fell into our target audience age, occupation or concerns.
Interviews
We wanted to perform interviews within context whenever possible. Due to COVID-19, it was not feasible for most of the interviewees. Fortunately, Uber drivers were still active in the Savannah area, and we decided to ask drivers questions during a prepaid trip to distant locations.
Bacteria swabs
The team was curious to see how dirty our own vehicles were based on what we had learned about in secondary research. Touchpoints like the steering wheel, gear shifter, and door handles were among the most contaminated places in the vehicle.
◽️ Figma Prototype
◽️ INTRODUCING
◽️ Journey Maps
Wireframing and first prototype
Rideshare-mocking app to show how our ecosystem would integrate into real world apps like Uber and Lyft
The Driver side focuses on the control of the products, while the rider side focuses on the whole experience of picking a ride, and learning about far-UVC in our products.
Our Rider side of the application focuses on data visualization and teaching users about the effectiveness of far-UVC. We started our prototypes with lengthy explanations, which changed later on to a more synthesized version with additional content if needed.
Foam models were used to test the form, yet they did not house any of the internal components aside from a bright diffused LED
Our “app” would not be a standalone design,
our intention was to make something for the sake of presenting the ideas. Our expectation would be an adoption of our idea and integration into existing rideshare applications.
User Testing
Users want to use the device manually and through an App.
Users wanted to understand the technology more.
Users wanted to know when and how well it was working.
Users were not aware that the products cleaned the air.
Users felt the app made it easier to understand how things work.
Users want some form of visible data.
Users want to see more information about the devices.
Users want a rechargeable battery for ABUV
What we want to learn from this test:
- Will our users trust our devices with an explanation of the tech through an app?
- Will the data visualizations promote clarity that the device is effective?
- Will the mid-fi’s of the products be taken well?
- Will users feel in control of the device through the app and with manual inputs?
- Will users like the placements of the prototypes within the vehicle?
- Will users understand that ABUV/UVU can clean the air too?
◽️ Personas
