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Mobile Application

Mobile Service by Mercedes-Benz

This project is a mobile application used by Technicians at Mercedes-Benz to navigate, maintain inventory, communicate with customers, etc. The redesign focuses on giving users the power to maximize the number of services performed and increase dealer profits.

Client / 

myKaarma

 

Role / 

Product Designer

 

Team / 

1 PM, 2 Designers, 4 Engineers, 1 Product Marketing Manager

 

Status / 

V1 was released January 2021

OVERVIEW
Where the story began...

Dealer infrastructure is limited and there is a reduced number of experienced technicians as less people are choosing to attend trade school. How do we help dealers increase profits in their limited space and utilize junior technicians?

 

Drivers have a hard time keeping track of their schedule, managing parts, and navigating to the customer to perform car services. Customers do not know when technicians will perform service, who will be there, and how much it will cost. How might we provide value to our driver users and  improve transparency with customers?

RESEARCH
Let's check what we have so far...

Since this project is in collaboration with Mercedes-Benz, I wanted to first align all stakeholder expectations. In addition, I wanted to align with the users as well. I started by: 

  • Meeting with stakeholders

  • Interviewing users and create user personas 

  • Conducting a competitive analysis

  • Analyzing the current workflow

Aligning with Stakeholders - What are the expectations...

Since this is a collaboration project with Mercedes-Benz, I had to set up a meeting with corporate to align on their expectations and timeline. I have outline the ask below:

MB_Expectations.png
Interview Users & Creating User Personas - Going and seeing...

To further understand and confirm user pain points, I started visiting different dealerships in person and observing what was happening. I shadowed a few technicians to see what happens from the point an appointment is received to the point where they complete the service at the customer's chosen location. 

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Who are we designing for...

After speaking to 30 users, the next step is to create a profile of the users and identify their possible pain points. I found that there are three key roles:

  • BDC Representative

  • Technician

  • Customer

In order to reduce the complexity of this project, let's focus on the technician flow since they will be the main users for the mobile app. I have added the details for all our users below for easy reference.

MB_UserPersona_Tech.png
MB_UserPersona_BDC.png
MB_UserPersona_Customer.png
Competitive Analysis - Finding what works...

During my conversations with our users, I started asking them to identify other applications they used that may be similar to what they want to use. Users started pointing out similarities to car service apps such as Uber, Lyft, and AAA. Although Uber and Lyft weren't exactly what Mobile Service would need, I found that AAA had features that closed that gap.

MB-CC.png
Analyzing the Work Flow - Visiting the dealership...

To further understand and confirm user pain points, I started visiting different dealerships in person and observing what was happening. I shadowed a few technicians to see what happens from the point an appointment is received to the point where they complete the service at the customer's chosen location. 

Mobile Service - Flow Chart.png
Userflow_Key.png
IDEATION
Synthesizing my findings...

After gathering the appropriate data, I started making sense of everything by:

  • Creating an affinity map

  • Defining feature prioritization

  • Fine-tuning the user flow

Affinity Map - Finding what stands out...

After gathering all the research, I created an affinity map using post-it notes. I found the following trends:

  • Technicians work on small screens and often share the same computer with other technicians. 

  • They leave post-it notes all around their computer monitors to keep track of opcodes, customer notes, and schedules. 

  • Currently, technicians have to perform all inspections by hand and physically walk the paperwork over to the Service Advisor's desk. The Service Advisors then type everything up and contact the customer to confirm details. 

  • Technicians are never in direct contact with customers 

  • Technicians get a printed copy of their schedule at the beginning of the day.

MB_Affinity Map.webp
Feature Prioritization - What's important to have...

After reviewing our affinity map and competitive analysis, I used the Moscow Method to give insight into some important features to include in our MVP. This is important because I needed to make sure we included all feature requirements that our stakeholders had requested and all features that are useful to our users.

Moscow Method.webp
Revisiting the User Flow - How will they use it...

Now that I have digested a lot of the data I've accumulated, it is time to make sense of the user flows. Again, we should focus mainly on the Technician flow, but I have outlined the other flows as well for your reference.

MobileService-User Flow 1.webp
MobileService- User  Flow 3.webp
MobileService- User  Flow 2.webp
DESIGN AND DELIVERY
Translating into screens...

After consolidating all my findings and sketching out some initial mockups for the user flow, I had a series of design studios. Focusing more on function than form, I created a bare-bone prototype that is effective enough to run user testings and gather feedback.

*Due to my confidentiality agreement with Mercedes-Benz USA, I can not share the full clickable prototype but below are some examples of the early stages of our design.

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2A-StartTrip - Minimize.webp
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Next Steps

This first version of mobile service launched at the end of January 2021 to two Mercedes-Benz dealership. We will be tracking success by:

  • Getting direct feedback from Technicians by both observing Technicians perform the service and user interviews

  • Reading customer reviews on MBUSA feedback cycle

  • Tracking usage 

  • Recording user screen to track how much time users are spending on each page

  • Get direct feedback if app crashes or other issues occur

Our nexts step will include:​

  • Design iterations by incorporating feedback from test dealerships

  • UI update

  • Launching at additional stores in different regions for more feedback

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