Turbolift is a concept autonomous ride-share company that I was tasked to design and do research for AP Entertainment. I was asked to create Turbolift's employee software, wireframe and create the software's user journey. Turbolift employees will use this web app to manage the car fleet and riders who are using the Turbolift app.
Tools used: Figma & Principle
My role: Ideation, wire-framing, and user journey. UX research, UI design, interaction design.
The problem: Ride-share companies struggle to properly organize, view, and edit the data gathered on their autonomous fleet.
Core Client Needs.
Organized analytic view.
The employees working at Turbolift would need an organized view of all the data and analytics of their riders and their fleet.
A way to track and contact riders.
Turbolift employees need a way to track and contact the riders who are on the road. In case there is an emergency or for safety precaution.
Research Methods.
Both quantitative and qualitative research used
1. Employee interviews
2. Market research
3. Card sorting
UX Challenge 01
The client wanted the web app to start with an onboarding process that featured key statistics about Turbolift’s analytics. This would engage the employee and help them get enthused about the company each day. One of the struggles in doing that was displaying the analytics in a digestible way to where the employees would be intrigued and excited to get started with work that day. Displaying the analytics in the wrong way could demotivate the employees.
Solution 01
I took the time to ask employees who worked at companies where they had to use software to track analytics and data, how they liked to view those analytics. Is there a way where complex data can be displayed to where its easily digestible? How much data can be shown to you before being overwhelmed? After the employee surveys I was able to determine that analytics should be shown in small digestible cards that were graphic centric. I was also able to determine what key analytics should be shown in the onboarding process. high demand pickup locations, high mileage riders, and fleet overview ranked the top 3 analytics to show.
Onboarding 1
Onboarding 2
Onboarding 3
Onboarding 4
Onboarding preview
UX Challenge 02
The next challenge dealt with information architecture as well. A real challenge was laying out the key metrics in the dashboard in a way that enhanced the employees job. Does the dashboard go on the right, left, bottom, top or middle? How is the fleet displayed? How do you incorporate a way to filter the fleet?
Solution 02
A card sorting exercise was done with the employees that worked at similar companies. Employees organized key metrics that were most important to them and they expressed what they would want to see displayed in a dashboard. After completing mockups I gave the participants multiple versions of how the dashboard could be laid out. The user journey was different each time. Participants selected the user journey that displayed the dashboard on the left and a view that displayed the fleet by vehicle license plate. The participants suggested that this dashboard view proved to be the most usability friendly.
