Nissan
EV Battery Analysis Tool
Automotive
The Why
Aligning Stakeholders Through Data and Design
The goal was to create a simple dashboard for Nissan's Battery Analysis Tool that predicts battery health, helps manage batteries, and guides decisions, boosting efficiency and customer satisfaction.
Through workshops, data analysis, and UX research, we aligned stakeholders to build a simple, effective tool for internal teams and customers via the My Nissan app.
My Role
Product Designer — Visual, Interaction, User Research, User Flows, Prototyping, Market Research, Business Analysis, Stakeholder Alignment
Team
Daniel Lipats, Solutions Architect
Chandra Venkataraman, PM
Timeline
San Francisco, Seattle, & Japan
Feb 6th - March 20th
The Why
Aligning Stakeholders Through Data and Design
My Role
Product Designer — Visual, Interaction, User Research, User Flows, Prototyping, Market Research, Business Analysis, Stakeholder Alignment
Team
Timeline
San Francisco, Seattle, & Japan
Feb 6th - March 20th
The Why
Aligning Stakeholders Through Data and Design
The goal was to create a simple dashboard for Nissan's Battery Analysis Tool that predicts battery health, helps manage batteries, and guides decisions, boosting efficiency and customer satisfaction.
My Role
Product Designer — Visual, Interaction, User Research, User Flows, Prototyping, Market Research, Business Analysis, Stakeholder Alignment
Team
Daniel Lipats, Solutions Architect
Chandra Venkataraman, PM
Timeline
San Francisco, Seattle, & Japan
Feb 6th - March 20th
Highlights - Key Design Decisions
Balancing Data & Usability
These features simplify complex battery data, empowering salespeople to provide clear, insightful guidance during customer interactions.
Predictive analytics, performance visualizations, and real-time health reports, improving decision-making, customer engagement, and efficiency.
Highlights - Key Design Decisions
Balancing Data & Usability
These features simplify complex battery data, empowering salespeople to provide clear, insightful guidance during customer interactions.
Highlights - Key Design Decisions
Balancing Data & Usability
These features simplify complex battery data, empowering salespeople to provide clear, insightful guidance during customer interactions.
Predictive Dealership Analytics
The platform boosts customer retention, optimizes EV inventory, and provides data insights for better dealership decision-making.
Predictive Dealership Analytics
The platform boosts customer retention, optimizes EV inventory, and provides data insights for better dealership decision-making.
Predictive Dealership Analytics
The platform boosts customer retention, optimizes EV inventory, and provides data insights for better dealership decision-making.
Battery Health Reports
The dashboard provides dealership-wide EV performance metrics, including sales, customer satisfaction, and trends, with customizable KPIs and options to share reports.
Battery Health Reports
The dashboard provides dealership-wide EV performance metrics, including sales, customer satisfaction, and trends, with customizable KPIs and options to share reports.
Battery Health Reports
The dashboard provides dealership-wide EV performance metrics, including sales, customer satisfaction, and trends, with customizable KPIs and options to share reports.
Data-Driven Lease Insights
Quick visualizations illustrating battery performance and expected degradation under different lease durations, enhancing customer understanding of long-term vehicle viability.
Data-Driven Lease Insights
Quick visualizations illustrating battery performance and expected degradation under different lease durations, enhancing customer understanding of long-term vehicle viability.
Data-Driven Lease Insights
Quick visualizations illustrating battery performance and expected degradation under different lease durations, enhancing customer understanding of long-term vehicle viability.
Dealership Inventory Optimization
Identifies at-risk customers, provides real-time battery diagnostics, proactive alerts, and charging insights to enhance maintenance and customer engagement.
Dealership Inventory Optimization
Identifies at-risk customers, provides real-time battery diagnostics, proactive alerts, and charging insights to enhance maintenance and customer engagement.
Dealership Inventory Optimization
Identifies at-risk customers, provides real-time battery diagnostics, proactive alerts, and charging insights to enhance maintenance and customer engagement.
Dealership Inventory Optimization
Identifies at-risk customers, provides real-time battery diagnostics, proactive alerts, and charging insights to enhance maintenance and customer engagement.
The Problem
Battery Performance & Data Access
External
Older Nissan Leaf models from 2010 have limited range due to worn batteries, creating a strong demand for simple, reliable upgrade solutions.
Internal
Nissan has data to improve EV value and customer satisfaction, but teams find it hard to access and interpret, limiting their ability to enhance performance and growth.
The Problem
Battery Performance & Data Access
External
Older Nissan Leaf models from 2010 have limited range due to worn batteries, creating a strong demand for simple, reliable upgrade solutions.
Internal
Nissan has data to improve EV value and customer satisfaction, but teams find it hard to access and interpret, limiting their ability to enhance performance and growth.
The Problem
Battery Performance & Data Access
External
Older Nissan Leaf models from 2010 have limited range due to worn batteries, creating a strong demand for simple, reliable upgrade solutions.
Internal
Nissan has data to improve EV value and customer satisfaction, but teams find it hard to access and interpret, limiting their ability to enhance performance and growth.
Challenges
01
Simplifying Complex Battery Metrics
Users have trouble understanding complex battery data, so the challenge is to turn it into simple, clear insights that non-experts can easily use for confident decisions.
02
Catering to Varied Stakeholders
The platform must balance technical detail and simplicity to meet the diverse needs of dealers, customers, and recyclers without confusing users.
03
Enabling Accurate Battery Prediction
Easy-to-understand forecasting tools are essential to help users predict battery health, remaining life, and the best time for replacement or recycling.
04
Aligning Cross-Functional Teams
Creating a successful platform needs ongoing collaboration and feedback from dealers, engineers, recyclers, and users to ensure it is user-friendly and scalable.
05
Fostering Transparency and Confidence
To build trust and encourage proactive battery management, the design must be clear, simple, and provide actionable insights and transparent explanations.
06
Designing for Universal Access
The platform should provide smooth, responsive access to battery insights on all devices—desktops, tablets, and smartphones—anytime and anywhere.
Problem Statement
While the client aims to expand its EV portfolio, the current market lacks personalized battery analysis tools. The need exists for a solution that not only predicts battery health but also aligns with user-specific conditions, reducing total cost of ownership and enhancing customer trust in EV transitions.
While the client aims to expand its EV portfolio, the current market lacks personalized battery analysis tools. The need exists for a solution that not only predicts battery health but also aligns with user-specific conditions, reducing total cost of ownership and enhancing customer trust in EV transitions.
Hypothesis
If Nissan develops a personalized EV battery analysis tool that accurately predicts battery health based on user-specific conditions, then it will reduce customer concerns about battery life and range, leading to increased customer trust, lower ownership costs, and greater adoption of Nissan’s EVs.
If Nissan develops a personalized EV battery analysis tool that accurately predicts battery health based on user-specific conditions, then it will reduce customer concerns about battery life and range, leading to increased customer trust, lower ownership costs, and greater adoption of Nissan’s EVs.
The Results
Alignment and Buy-in
We built a flexible platform that gives dealers clear insights into key metrics, helping them make better decisions and support Nissan’s team with innovative, data-driven solutions.
At the project end, Nissan was going through major changes, including a possible merger with Honda, a new CEO, and plant closures, which affected plans for a Phase 2.0 and building the BAT.
The Results
Alignment and Buy-in
We built a flexible platform that gives dealers clear insights into key metrics, helping them make better decisions and support Nissan’s team with innovative, data-driven solutions.
At the project end, Nissan was going through major changes, including a possible merger with Honda, a new CEO, and plant closures, which affected plans for a Phase 2.0 and building the BAT.
Goals & KPIs
Measuring Success
The BAT Dashboard aims to boost user engagement by increasing active users by 30% in six months through seamless onboarding and encouraging 50% to utilize predictive analytics and voice commands twice per session.
The aim is to reduce battery service delays by 20%, increase reuse reports by 25%, and boost customer trust by 15% while maintaining 90% user satisfaction through ongoing feedback and assessments, supporting Nissan's 2025 growth and innovation goals.
Goals & KPIs
Measuring Success
The BAT Dashboard aims to boost user engagement by increasing active users by 30% in six months through seamless onboarding and encouraging 50% to utilize predictive analytics and voice commands twice per session.
The aim is to reduce battery service delays by 20%, increase reuse reports by 25%, and boost customer trust by 15% while maintaining 90% user satisfaction through ongoing feedback and assessments, supporting Nissan's 2025 growth and innovation goals.
01
Engagement Goals
Increase active users by 30% in 6 months with easy onboarding, and have 50% use predictive analytics and voice commands twice per session for better engagement.
01
Simplifying Complex Battery Metrics
Users have trouble understanding complex battery data, so the challenge is to turn it into simple, clear insights that non-experts can easily use for confident decisions.
02
Conversion & Business Impact
In 12 months, reduce battery service delays by 20%, increase reuse reports by 25%, and boost customer trust by 15% with improved data and analytics, supporting sustainability.
02
Catering to Varied Stakeholders
The platform must balance technical detail and simplicity to meet the diverse needs of dealers, customers, and recyclers without confusing users.
03
Learn & Optimize
Continuously collect user feedback and run quarterly reviews to keep satisfaction at 90% and ensure the dashboard meets user needs.
03
Enabling Accurate Battery Prediction
Easy-to-understand forecasting tools are essential to help users predict battery health, remaining life, and the best time for replacement or recycling.
04
Strategic Impact
Ensure the BAT Dashboard boosts Nissan's 2025 EV leadership by enhancing operational efficiency, customer trust, and sustainability to drive growth and innovation.
04
UX & UI Design
We develop beautiful design and user-friendly interfaces for websites and mobile applications.
The Takeaways
Lessons & Reflections
The final dashboard is flexible and user-friendly, making complex battery data accessible, helping smarter decisions, and supporting Nissan’s sustainability goals.
This quick project taught us to focus only on essentials and use a questionnaire for asynchronous discovery, saving time and improving efficiency.
The Takeaways
Lessons & Reflections
The final dashboard is flexible and user-friendly, making complex battery data accessible, helping smarter decisions, and supporting Nissan’s sustainability goals.
This quick project taught us to focus only on essentials and use a questionnaire for asynchronous discovery, saving time and improving efficiency.
