Driver Assist Feature for Electric Cars

Client:

ZEEKR Design/ CEVT

Industry:

Electric Automotive

Start:

August 1, 2022

Start:

August 1, 2022

End:

December 30, 2022

End:

December 30, 2022

Duration:

20 Weeks

Duration:

20 Weeks

My Role:

I was briefed on the capabilities of the new technology and on ZEEKR’s plans for its implementation. A predefined list of functions was already available, and my task was to design a rich, comprehensive user experience that would make this technology genuinely useful for end users - drivers like you and me.

Organisation Challenge:

To make use of a new technology that could potentially reduce the fuel consumption in electric cars.

User Challenge:

Achieving this goal requires a change in driver behavior. The challenge is figuring out how to encourage this shift among the many electric car drivers without interfering too much with their driving experience.

The UX should be:
  • Informative

  • Simple to use

  • Gamified, fun, and enjoyable

My Role:

I was briefed on the capabilities of the new technology and on ZEEKR’s plans for its implementation. A predefined list of functions was already available, and my task was to design a rich, comprehensive user experience that would make this technology genuinely useful for end users - drivers like you and me.

Organisation Challenge:

To make use of a new technology that could potentially reduce the fuel consumption in electric cars.

User Challenge:

Achieving this goal requires a change in driver behavior. The challenge is figuring out how to encourage this shift among the many electric car drivers without interfering too much with their driving experience.

The UX should be:
  • Informative

  • Simple to use

  • Gamified, fun, and enjoyable

Approach during Innovation phase

Approach during Development phase

User Journey & Opportunity mapping

The design process began by mapping a driver’s journey from starting the car to locking it at the end. This overview, built using prior ZEEKR research and project data, helped us understand driving events, identify edge cases, and observe driver behavior. It also revealed key opportunities for integrating the new technology.

User Research with Polestar team at Charging stations

It was necessary for the design team to understand the users of an electric car much more:-

  • To understand the problems they face while driving

  • Regarding range anxiety

  • Charging behavior

  • Strategies they use while driving electric

  • Other needs and wants

We prepared an interview framework with open-ended questions, then refined it together with the Polestar team to ensure it aligned with their objectives.

A charging station was the ideal place to meet EV drivers, so we selected one near Gothenburg that met our criteria (e.g., highway access, city proximity). Together with the Polestar team, we spent a day interviewing several drivers and co-drivers. It was a valuable experience that gave us fresh insights into EV use.

In particular, learning about the strategies drivers use to maximize range and efficiency directly informed the feature we were developing.

Workshop with the Design team

We held a workshop to analyze the data from the charging-station interviews. By repeatedly asking “why” behind users’ behaviors and challenges, we distilled their core needs. We then mapped these needs to the feature’s functions and brainstormed ideas to address the user needs.

From there we created an Information Architecture, detailing what different information could go into a page or a menu and the corresponding touchpoints.

Wireframing & Prototyping

We used an iterative approach to build wireframes for each touchpoint. Since the mobile app was a lower priority, our main focus was on the driver interface module (DIM) and the central stack display (CSD). A mid-fidelity prototype was created and continuously refined throughout the development process.


Usability Test & Analysis

Setup

We created a mock environment using two screens to test the usability of our wireframes and prototypes. Five participants were invited and given specific scenarios to perform. We observed their actions, captured their thoughts, and asked follow-up questions to understand how they interpreted the information flow.

The collected data was analyzed using the KJ method, and the resulting insights guided further refinement of the wireframes.

Result

During this innovation phase a refined mock-up was created which needed to be developed within a cross-functional team. Below is a picture of the mock-up and how it would communicate with the driver in a gamified fashion about their driving behaviour.

Read more about that story here.

Highlights

The user research we had done at the charging station and the insights from it was the highlight of this phase.

Challenges

The main challenge was to come up with an idea that is simple, intuitive, fun and yet communicates the intention of fuel consumption.

Learnings

Many of the assumptions that we make as designers would need not be true in a real case ,or it may not even matter to the users. Only a thorough user research will bring up all the gaps and opportunities.