Enhancing electric fleet management
Platform for monitoring and planning fleet delivering service
Main objective
Movia is an electro-mobility platform created to improve the efficiency of electric vehicle fleets. It enables fleet management and monitoring by providing real time data that indicate users when to charge vehicles, reducing energy costs, and maximizing the useful life of batteries.
My role and impact
Research
Led multiple rounds of stakeholder and user interviews. Conducted usability testing on the existing solution to identify key issues and areas for improvement. Collaborated closely with the CEO of Antu Energía to define the core problem and align design decisions with business objectives.
Design
As the lead designer, I developed the project branding, information architecture, primary personas and user journeys. For the desktop platform, I built the foundational design system, and led the creation of wireframes and high-fidelity prototypes and multiple user validation usability sessions.
Impact & Results
Increased operational efficiency and reduced energy costs by up 20% through smarter routing and optimized battery charging.
Integrated a new optimization module combining real time data of vehicles status, charger availability, and traffic condition.
Design process
The design process was divided into different stages. Starting with understanding the existing solution, the different user personas and their main pain point and behaviors while using the platform.
In the first stage, the main focus was on understanding the existing solution and different user personas. We generated the current site map and conducted a series of interview and usability testing sessions. We identified user pain points, behaviors, and key user journey maps. In the design stage, we analyzed the data, recognized essential tasks, and features to be added or enhanced to meet the user needs. The study concluded with another round of usability testing on the new solution.
Understanding the problem
We started by identifying the core issues, which we synthesized into a key problem. The lack of electric fleet information and management leads to high energy costs and inefficient battery usage. Next, we defined a "How might we statement" to guide our research plan and establish specific objectives.
How might we enhance fleet information visibility to enable efficient management, monitoring and optimized battery usage?
Movia platform was based on the existing Antufleet platform the client had already developed. I was asked to improve the existent desktop solution, generate new views and add new functionalities according to the users needs and essential workflows.
During the data collection stage, we evaluated the existing platform to identify key areas for improvement. We conducted three interview and user testing sessions to validate the main problems and uncover usability opportunities. The key findings revealed issues and misunderstanding in the information architecture and navigation, as well as a perceived lack of essential features. All users agreed the incorporating data visualization of fleet performance, alongside customizable settings for fleet organization and administrative tasks, was indispensable.
The key findings revealed issues and misunderstanding in the information architecture and navigation, as well as a perceived lack of essential features. All users agreed the incorporating data visualization of fleet performance, alongside customizable settings for fleet organization and administrative tasks, was indispensable.
The first results from the usability test consisted in an affinity map showcasing the main features to develop, sorted by topic and the primary user journey map.
The second stage consisted in the analysis of all the information collected, both from the main problems of the users with the existing platform and the new features to be developed according to the main needs.
We also developed two user personas that considered the administrator, project manager and head of innovation of the electric vehicles fleet. Finally we identified the main opportunities from the user journey map to improve the experience according the emotional result caused by the already existing solution.
The design stage was the creation of the design system, the restructuring of the platform and designing new modules and views for the additional features.
The solution developed consisted in 4 main sections:
Home: We redefined the main objective of this section by introducing a real-time map displaying all fleet vehicles and charging stations, along with detailed views of drivers and fleet status.
Statistics: This section provides the status of each vehicle, key performance indicators (KPIs), battery levels, and a panel for alert notifications and settings.
Optimization: This section focuses on fleet planning and battery usage to enhance the efficiency of vehicle journeys.
Administration: This was the only section that was not modified, as our research did not identify any significant elements needing improvement or major user pain points.
The final step involved testing the updated platform and newly integrated sections, with particular focus on the statistics and optimization modules. We conducted user testing with two fleet managers, a product and an innovation manager from sustainable transportation companies, to assess how the new solution enhanced efficiency and aligned with user needs. We developed an empathy map to capture fundamental key takeaways. These results are essential for next stages and delivering recommended steps for continuing design iteration.
Key Learnings & Recommendations
The renewed platform not only improved user satisfaction but streamlined primary navigation, increased operational efficiency, and reduced energy cost by enabling strategic battery charging and effective use of fleet vehicles.
Enhance the Optimization Module by integrating it with the Home section, where users can view all vehicles individually or grouped by fleet, for better information access and workflow continuity.
It is essential to incorporate vehicle charging requirements based on charger type to ensure the routing logic is accurate and precise.
Display charger details on map click to ensure informed planning and decision making fir route changes.
Differentiate city vs. highway energy use is fundamental for efficient route suggestions.
