Uber Health
Timeline
Jan - Apr 2024
Tools
Figma, FigJam, Canva, Zoom
Role
Secondary research, co-creation workshop facilitation, usability testing, user journey mapping
Team HealthExpress
Helen Chan (me), Amelia Du, Parita Patel, Yuet Ming Wong, Zoey Zhou
Project Overview
Employee benefits are now seen as important differentiators for employment, retention and high work performance. Employee Assistance Plans (EAPs) are gaining traction and are meant to be preventative and add value compared to Employee Benefit Plans (EBPs), but are extremely underutilized. My team, HealthExpress, redesigned the EAP service experience for young professionals offered by Uber Health with the goals of increasing EAP activation and utilization.
Client Challenges
Employee assistance plans often have low enrollment, low utilization, low satisfaction, and low activation, which can lead to wasted costs and missed opportunities for employees. ​
1
Activation Rate
= 35% (target of 50%)
2
Utilization Rate
= 3% (target of 15%)
3
Likelihood to Recommend
= 2/10 (target of 6/10)
Current pain points include fragmentation of platforms and disconnected user experience. There is low awareness of such services and low satisfaction scores have been documented.
How might we create an Employee Assistance Plan that is differentiated and leverages our unique assets and infrastructure?
Secondary Research Findings
To figure out themes to ask service users during the in-class co-creation workshop, my team conducted background research into the benefits, challenges, and pivotal points in the user experience with various EAPs.
Based on background research, we wanted to consider the following:
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Having quick and easy access to EAPs in a centralized platform
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Fast, reliable response times and high quality customer service
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End-to-end well-being
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Maintaining confidentiality
How does Uber Health compete with others who offer a wider range of services?
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Uber Health has one advantage where it provides rides, so it covers the visits to healthcare practitioners.
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Another advantage could be quick response due to more drivers in a particular location.
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Privacy and security of data must be maintained.
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This includes establishing the credibility of uber health drivers (especially when they are strangers in time of medical vulnerability).
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Co-Creation Workshop Summary
Whiteboard activity prompts:
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If you think about people with disabilities commuting to their health care service provider, how do you think having an EAP can help support them?
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What kind of services would you use to get needed healthcare based on the severity of your medical condition? List the services you would choose based on the level of severity (not severe at all, a little bit severe, very severe) and explain why you chose those services.
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What are the EAP benefits you use most frequently? What are some benefits you feel like you’d like?
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What are the EAP benefits you use the least? Are there any reasons stopping you from using them?
Storyboard activity:
Step 1: A young man has arthritis and is unable to walk without pain.
Step 2: His mom calls the hospital and tries to book a physiotherapy appointment.
Step 3: The hospital sends the physiotherapist via an Uber ride to the man’s house.
Step 4: The man wants his medications delivered to his house so he calls the pharmacy. The pharmacy sends it over via Uber.
Storyboard Prompt: What do you think of this journey?
Key Findings:
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Data management, matching & batching, seamless payment are important factors to take into consideration for the redesign.
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We must think about the expansion of Uber Health beyond mobility, the transparency, the timeline, time tracking, and location data.
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Users should be able to see which Uber Health providers nearby provide the most coverage.
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Users can choose Uber Health driver based on personalized matching and viewing real time data (e.g., commute time and commute path).
Touchpoint Map
This touchpoint map lays out all the interaction points (touchpoints) an Uber Health customer has with the EAP service, from start to finish. This creates a holistic view of the customer journey, revealing areas that might be overlooked otherwise. By understanding all the touchpoints, we can design a service that meets the needs and expectations of customers at every step of their journey.
User Journey Map
By visualizing the user journey, we can easily pinpoint where users might encounter difficulties or frustrations. This reveals opportunities to improve the service and make it more user-friendly. We have chosen 3 pivotal points to address in our redesign. As pivotal points represent crucial moments or shifts in the user experience, they highlight stages where users make decisions, encounter challenges, or experience key emotions. By capturing these moments, we can identify areas where the service design can have the biggest impact on user satisfaction or success.
Ideation
To address the 3 pivotal points with our redesign, we prioritized the following:
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Visualize coverage distribution and clarify covered clinics to simplify the initial research of exploring EAP information
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Personalize the booking process with more informative details related to the service
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Implement an auto-claim process to streamline the claiming process and reduce user frustration
Storyboard
Storyboards visually depict the user interacting with the service at different touchpoints. This allows stakeholders and users to see the service experience come to life. Storyboards inherently follow a narrative structure, allowing us to showcase the user's journey through the Uber Health service in a clear sequential manner.
Mid-Fidelity Prototype (Iteration #1)
We designed a mid-fidelity prototype of Uber Health’s EAP services to address both the user needs and business objectives.
Usability Testing Summary
We conducted usability testing using the think aloud protocol with 4 participants focusing on the 3 pivotal points.
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Key Findings:
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The hamburger menu was hard to find. One participant said she thought the invoice would be on the front page; she didn’t realize it was within the hamburger menu
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We need to consider the safety of the patient. The patient should have the autonomy to select the healthcare professional based on name, gender, specialization
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It would be nice to have the uber health rider provide assistance if possible to help the client with the ankle injury get from the door to the car.
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It would be beneficial to have a list of filters to filter out the clinics (e.g., One participant mentioned only wanting to see clinics open after 5 PM). They don’t have to click on dots on the map if the filters show nearby clinics.
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When it comes to chatting with the care coordinator on systems like this, it feels like an AI is talking to them even though there is a real person. A few participants reported having low trust of the care coordinator.
Iteration #2 Redesign Recommendations:
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Change the hamburger menu to a bottom navigation menu bar. Have an optional step #3 on the mobile app before the last step to write a text message in a textbox asking for potential additional assistance from the Uber driver.
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Add a filtering option on the clinic selection page.
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Include one more page showing a widget on the home screen that displays the ride process and include the care coordinator’s contact information. We can provide more context about the role of the care coordinator and add details about the Uber driver’s credentials.
High-Fidelity Prototype (Iteration #2)
Based on usability testing feedback, my team created a finalized high-fidelity prototype as presented below.
Find a curated health care provider and book an appointment seamlessly.
Get a timely reminder notification on the day of your service. You even have the option to chat with the care coordinator.
Rate your provider to provide feedback on the service. Uber Health takes your feedback seriously.
Submit an auto-claim to make the claiming process less cumbersome.