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Redefining Range Confidence for Mahindra EV Users
Reducing Range Anxiety for Mahindra Electric Vehicle Users
While the Indian EV market is projected to reach over $110 billion by 2029 , a significant psychological barrier Range Anxiety; remains the "invisible ceiling" for millions of potential owners. In a landscape where infrastructure is still evolving, drivers often feel forced to relegate their EVs to city-only use, fearing they will be stranded during intercity travel
CONTEXT
What does it take for a system to earn trust before the user even needs reassurance?
TOOL FOR THOUGHT
Trust isn’t designed through accuracy alone, but through honest, anticipatory systems. When uncertainty is surfaced clearly and experiences stay continuous across platforms, confidence becomes implicit, not something users have to verify.
Bridging the gap between raw vehicle data and human confidence by transforming the dashboard into an intuitive, cognitive partner
Proactive Co-Pilot for the Modern Driver
I learned how to turn complex contextual data into proactive intelligence that removes uncertainty from EV journeys. More importantly, I realized that trust is built through transparency by revealing what’s hidden rather than visual polish, and that seamless mobile-to-vehicle continuity is critical to a confident driving experience.
Timeline
1 Month
My Team
Sanchita Thiagarajan
Saidiya K C
Yashika P
My Role
Interaction Designer
Tools
Figma
FigJam
Miro
TL;DR
Reduce range anxiety for Mahindra EV users by creating a connected IVI and mobile app experience by providing real-time trip feasibility predictions, visualizes range, and recommends reliable charging stations to deliver a seamless, proactive, and trustworthy journey.
Core Experience
OUR APPROACH
India’s EV users struggle with uncertainty around range, charging access, and trip planning. Me4U bridges this gap through real-time predictions, smart routing, and seamless charging intelligence, transforming anxiety into assurance.
How did we redesign the service in just one month?
Sr No:
Role:
Responsibility:
01
Understanding the EV Ecosystem & Range Anxiety Problem
We began by studying the current EV driving experience focusing on range uncertainty, charging accessibility, and real-time decision challenges. Through secondary research and ecosystem mapping, we understood how lack of predictive insights impacts driver confidence and trip planning.
Sr No:
Role:
Responsibility:
02
Identifying User Pain Points & Experience Gaps
We conducted user interviews and analyzed EV driver behaviors to uncover frustrations around unreliable range estimates, limited charging visibility, and anxiety during long journeys. These insights highlighted critical trust gaps between users and EV systems.
Sr No:
Role:
Responsibility:
03
System Mapping & Design Requirements
Using journey mapping, service blueprints, and affinity mapping, we translated user problems into clear system opportunities. We defined core requirements such as real-time range prediction, trip feasibility analysis, smart charging recommendations, and continuous reassurance touchpoints.
Sr No:
Role:
Responsibility:
04
UX Strategy, Interface Design & Connected Experience
We designed a connected in-car and mobile experience that delivers predictive insights, seamless trip planning, and intelligent charging guidance. The final system focused on building trust, reducing anxiety, and enabling confident EV journeys through clarity and real-time support.
In one month, we reimagined the Mahindra EV experience by transforming range anxiety into predictive confidence.
Through deep user research, system thinking, and experience design, we created a connected platform that simplifies trip planning, improves charging decisions, and builds trust across every journey touchpoint.
PROJECT TIMELINE
The concept of redesigning the EV driving experience to eliminate range anxiety.
✅ Build driver confidence through real-time range prediction and trip feasibility insights.
✅ Simplify long-distance EV travel with smart routing and charging station recommendations.
✅ Reduce uncertainty during journeys through continuous live updates and predictive alerts.
✅ Increase trust in EV systems by improving transparency of battery health and range behavior.
✅ Enable better decision-making using terrain, traffic, and driving pattern analysis.
✅ Create a seamless connected experience between in-car systems and mobile applications.
✅ Enhance post-trip insights and feedback to improve future driving efficiency.
India’s electric mobility and connected vehicle services market.
Current and future EV users navigating long-distance and urban travel.
Market Scope
Individuals
$15+ billion
$30+ Million
Understanding the System
Understanding the Automotive Domain
Design Visits & Understanding the System
Service Blueprint & Analyses
Understanding different types of gap
DAY 1-2
DAY 3-5
DAY 6-7
DAY 8
PROJECT SCOPE
India is one of the fastest-growing EV markets in the world, driving a massive shift in mobility behavior.
As electric vehicles rapidly enter everyday travel, users face new challenges around range uncertainty, charging accessibility, and real-time trip planning.
Through research into EV driving behaviors and system gaps, we identified opportunities to improve confidence, transparency, and predictive decision-making across the EV journey.
These improvements open the door for intelligent connected systems that transform anxiety into seamless, trustworthy mobility experiences.
MILLION VEHICLES IN INDIA
330+
With hundreds of millions of vehicles and EV adoption accelerating the need for smart, predictive mobility systems is increasing rapidly.
Designing better EV experiences today directly impacts the future of sustainable transportation in India.
This scale presents a powerful opportunity to build trust-driven EV journeys, making electric travel easier, smarter, and stress-free for millions of users.
PROJECT SCOPE
How critical is solving range anxiety for the future of EV adoption in India?
1. Driver Confidence & Daily Usability
2. Faster EV Adoption & Market Growth
3. Trust in Battery & Vehicle Performance
4. Predictive & Smart Mobility Future
EV EXPERIENCE IMPORTANCE
Range anxiety is the biggest barrier slowing EV adoption in India, impacting trust, trip planning, and everyday usability.
Uncertainty around battery range, charging availability, and real-time conditions forces drivers to limit travel and constantly second-guess their journeys.
Solving this transforms EVs from short-distance alternatives into reliable daily vehicles.
of EV users experience anxiety about running out of charge during long or unfamiliar journeys, reducing confidence in electric mobility.
projected value of India’s EV and connected mobility ecosystem by the end of the decade, driven by rapid adoption and infrastructure growth.
70%
$15+ billion
of drivers rely on manual estimates or guesswork to plan charging stops due to lack of predictive range and trip feasibility tools.
of potential EV buyers cite range uncertainty as the primary reason for delaying or avoiding EV adoption.
65%
60-70%
of real-world range can vary due to traffic, terrain, weather, and driving behavior — making static range numbers unreliable.
of EV journeys require mid-route decision-making around charging, route changes, or energy consumption awareness.
30%
75%
MAHINDRA ELECTRIC CASE STUDY
India’s EV drivers struggle with unreliable range estimates, uncertain charging access, and lack of real-time trip confidence. Most existing systems rely on static battery data, ignoring real-world factors like traffic, terrain, and driving behavior, leading to constant anxiety during longer journeys.
Why is range anxiety slowing EV adoption in India?
Fear of running out of charge mid-journey
Inaccurate real-world range predictions
Limited charging station visibility and reliability
Stress during unfamiliar or long routes
Manual planning and constant guesswork
Mahindra Electric
Customer Complaints:
Services:
EV users cite range uncertainty as their biggest concern
real-world range fluctuates due to driving conditions
60-70%
30%+
of long EV trips require mid-route charging decisions
India’s EV & connected mobility market by 2030
75%
$15+ billion
expected EV drivers in the near future
higher anxiety reported on long-distance trips vs daily commutes
10M+ users
2–3x
Mahindra Electric Shares
Problem Description:
Key Problems Faced:
Mahindra EV users rely on static range numbers that fail to reflect real-world driving conditions. Without predictive intelligence, drivers are forced to manually estimate routes, charging stops, and energy usage leading to uncertainty, stress, and limited EV usage beyond short commutes.
The absence of connected trip insights results in poor decision-making, frequent rerouting, and constant fear of battery depletion during longer journeys.
🚗 Unreliable real-world range predictions
Displayed range does not adapt to traffic, terrain, or driving behavior.
📍 Uncertainty around charging planning
Users struggle to decide when and where to charge during trips.
📉 Lack of trip feasibility insights
No clear indication whether a journey can be completed confidently.
⚡ No real-time energy impact feedback
Drivers cannot understand how conditions affect battery consumption.
😟 High cognitive load while driving
Constant monitoring and guesswork increase stress and reduce trust in EVs.
Why EV users struggle to trust long distance journeys?
SERVICE BLUEPRINT
Let's understand how the Service works!
Mapping real-world EV journeys to uncover breakdowns in prediction, communication, and decision-making. Each blueprint visualizes how disconnected systems
trigger anxiety, friction, and missed charging opportunities. Together, they reveal where intelligent, real-time intervention can transform the EV experience.
Identify moments where unexpected range drops occur mid-journey.
Understand how ambiguous system feedback amplifies driver anxiety.
Capture behavioral changes triggered by panic (slowing down, AC off, overcorrection)
Analyze how lack of explanation breaks driver trust in the system.
Reveal opportunities for contextual, predictive, and reassuring in-trip guidance
Service Blueprint:
Service Blueprint Goals:
Let’s outline how in-trip range anxiety escalates during an EV journey.
This blueprint traces how a sudden drop in perceived range triggers confusion, panic, and inefficient driving behavior when the system fails to explain why it’s happening.
It maps the gap between what the vehicle detects and what the driver understands, revealing how unclear feedback increases stress instead of enabling confident, energy-optimal decisions.
CUSTOMER JOURNEY MAP
From confidence to panic, static range data breaks the EV journey experience.
This journey map highlights how static range information leads EV users from initial confidence to anxiety, stress, and loss of trust during long trips.
Analyzing & Evaluating the System
Defining the Demographics
Understanding different touchpoint & System Gaps
Problems faced by the Employees & Customers
Goal Space & Value Proposition
DAY 9
DAY 10
DAY 11-12
DAY 13-15
Defining demographics identifies target user; analyzing touchpoints reveals gaps; understanding challenges highlights issues; and goal- setting service value.
DEMOGRAPHICS
These ideal client profiles represent the key EV user segments impacted by range anxiety and journey uncertainty. Understanding their roles and responsibilities helps design predictive experiences that support confident electric travel.
What are the demographics we are focusing on?
Sr No:
Role:
Responsibility:
01
Urban Daily Commuter
Track real-world range before trips
Follow smart route recommendations
Maintain regular charging routines
Optimize driving behavior for efficiency.
Sr No:
Role:
Responsibility:
02
Intercity Occasional Traveller
Plan trips using feasibility predictions
Monitor live energy consumption
Make informed charging stop decisions
Adjust routes based on system guidance
Sr No:
Role:
Responsibility:
03
First-Time EV Adopter
Learn battery behavior through predictive insights
Follow onboarding guidance
Monitor performance trends
Use reassurance features to drive confidently
These ideal client profiles represent the core EV user groups navigating daily commutes, long-distance travel, and first-time electric mobility experiences. By understanding their behaviors, goals, and pain points, we identified where range anxiety emerges and how predictive insights can support confident decision-making. This foundation guided the design of Me4U’s real-time range intelligence, trip feasibility tools, and smart charging recommendations.
Existing Touchpoints:
Employee Customer Touchpoints:
DEFINING TOUCHPOINTS
Defining the touchpoints of the customers and the employees
Redesigning these touchpoints transforms EV travel from uncertainty-driven to prediction-led and confidence-first.
1. Pre-Trip Range & Feasibility Check
Where drivers assess real-world range against destination distance and conditions.
2. Smart Trip Planning & Route Intelligence
Where users receive energy-aware routing, charger suggestions, and arrival battery predictions.
3. Live In-Drive Range Feedback
Where real-time consumption, terrain impact, and dynamic predictions guide driving decisions.
4. Charging Discovery & Reliability Updates
Where availability, speed, and working status of chargers influence route confidence.
5. Post-Trip Insights & Battery Health Feedback
Where users reflect on performance, efficiency, and future trip readiness.
Project Goals:
Key Challenges:
Project Objectives:
Problem Space:
Description:
PROBLEM SPACE
Most EV interfaces present battery data in isolation, without context of terrain, traffic, climate, or driving behavior.
As real-world conditions shift, drivers are left guessing whether their vehicle can realistically complete a trip.
How does today’s EV journey experience break driver confidence?
Range feedback changes without actionable reasoning
Drivers manually compensate by slowing down or turning off comfort features
Charging decisions are reactive instead of planned
System lacks early warnings before critical range thresholds
No learning from past trips to improve predictions
Customer Problems & Gaps
Without contextual intelligence, EV users rely on constant mental calculations rather than system guidance. This increases cognitive load, reduces driving comfort, and turns every long journey into a high-stress experience.
Sr.
Demographics
Problem Quotes
Service Problems & Gaps
EV Driver - Daily & Long-Distance Users
EV drivers using Mahindra vehicles for city commuting, weekend trips, and intercity travel, responsible for trip planning, monitoring battery performance, and charging decisions.
“The range number changes suddenly when I turn on AC or get stuck in traffic. I never know if I can trust it.”
Range drops without explanation causing panic
(Quote source: sudden range change frustration)
No confidence in real-world distance vs displayed range
(Quote source: “can I actually make it?” uncertainty)
Constantly checking battery instead of focusing on driving
(Quote source: mental load while driving)
Fear of being stranded due to unreliable charger info
(Quote source: infrastructure trust issues)
Over-planning or avoiding longer trips entirely
(Quote source: behavioral avoidance insight)
A.
Sr.
Demographics
Problem Quotes
Service Problems & Gaps
EV Driver - Trip Planner / Long-Distance Traveller
Users planning multi-stop or highway journeys who rely heavily on route mapping and charging availability.
“I use three different apps just to check chargers — and half the time they’re not working when I arrive.”
B.
Sr.
Demographics
Problem Quotes
Service Problems & Gaps
First-Time EV Owner - Transitioning User
New EV adopters learning battery behavior and building trust in electric mobility.
“I don’t really understand what affects the range, speed, AC, slope, it just feels unpredictable.”
Lack of understanding of energy consumption factors
(Quote source: confusion around driving impact)No learning or feedback from past trips
(Quote source: “it never explains what happened”)Hesitation in using EV for unfamiliar routes
(Quote source: trust building issue)Over-dependence on basic battery percentage
(Quote source: simplistic metric reliance)Anxiety during first few long drives
(Quote source: early adoption stress)
C.
Fragmented charging information across platforms
(Quote source: multiple app dependency)
No prediction of battery at destination or next stop
(Quote source: lack of arrival clarity)
Reactive charging decisions instead of planned ones
(Quote source: last-minute charger searching)
Stress caused by unreliable charger availability
(Quote source: broken/offline chargers)
Time wasted rerouting mid-journey
(Quote source: unexpected detours)
SERVICE GAPS
What are the gaps and the problems in the current charging infrastructure system?
Mapping real-world EV journeys to uncover breakdowns in prediction, communication, and decision-making. Each blueprint visualizes how disconnected systems
trigger anxiety, friction, and missed charging opportunities. Together, they reveal where intelligent, real-time intervention can transform the EV experience.
Problem Space:
Problems with the System
Service Problems & Gaps
The current EV journey experience lacks contextual intelligence, causing drivers to rely on guesswork instead of predictive support.
While vehicles generate rich data, it is not translated into meaningful, confidence-building guidance for real-world travel.
This disconnect between vehicle capability and user understanding turns range management into a constant mental burden.
1. Static Range Representation
Displayed range does not adapt clearly to real-time driving conditions.
2. No Cause-and-Effect Visibility
Drivers are not informed how terrain, traffic, AC usage, or speed impact energy loss.
3. Reactive Journey Support
The system responds after range drops instead of anticipating energy risks earlier.
4. Disconnected Charging Intelligence
Charging availability and reliability are not embedded into trip decisions.
5. Lack of Predictive Trip Outcomes
Users cannot see realistic arrival battery levels before starting journeys.
6. No Learning Over Time
Past driving patterns are not used to improve future range accuracy.
Unexplained range shifts create panic rather than informed action
Drivers compensate manually instead of trusting the system
Uncertainty drives conservative behavior and trip avoidance
Confidence depends more on prediction clarity than battery size
Fragmented information increases cognitive load
Trust erodes when real-world outcomes don’t match system estimates
STORYBOARDING
Problem Storyboard
The lack of predictive clarity turns every long drive into a stressful guessing game instead of a confident journey
OPPORTUNITY SPACE
How can Mahindra scale after-sales operations while improving service quality and customer trust simultaneously?
✔ Enable smart digital service booking with capacity-based slot planning to reduce congestion and idle time.
✔ Replace manual job cards with real-time digital workflows for faster diagnostics, approvals, and execution.
✔ Equip technicians with connected diagnostic systems to improve accuracy and reduce rework.
✔ Provide customers with live service progress tracking, cost transparency, and proactive updates.
✔ Centralise vehicle, inventory, and workforce management for service advisors and managers.
✔ Automate post-service feedback loops to continuously improve service experience and loyalty.
India aims for tens of millions of EVs on the road by 2030, creating a large market for predictive EV systems and intelligent driving aids
By 2030, millions of Indian EV users will need accurate range prediction and confidence-building trip support
Employment
$30 Billion
500,000+
Market Size
Oppurtunity Space
Goal Statement
Opportunity Space
Potential Market & Audience
The goal of this project is to reduce EV range uncertainty and build user confidence in Mahindra electric vehicles by delivering predictive, context-aware range insights, seamless trip feasibility evaluation, and integrated charging intelligence.
By focusing on enhancing clarity, reducing mental load, and providing real-time guidance, the Me4U system aims to transform the current reactive driving experience into a planned, predictable, and confident journey.
Urban Daily Commuters
Intercity & Weekend Travelers
New EV Owners
EV Fleet & Shared Mobility Operators
EV mobility ecosystem growth
Future Indian EV drivers
$20+ Billion
30M+ Users
Buyers fear range uncertainty
60–70%
Expanding public charging network
100k+ Chargers
FEATURIZATION
What are the new touch points that we have improved on?
New Touchpoint
Competitive Advantage/ Featurization:
Predictive Range Intelligence System
(Drivers • Infotainment • Mobile App)
Context-aware range recalculation
Arrival battery prediction at destination
Dynamic driving impact insights
Battery health influence on range
Real-time energy consumption feedback
Smart efficiency nudges while driving
New Touchpoint
Competitive Advantage/ Featurization:
Smart Charging & Route Intelligence App
(Drivers • Trip Planners
Verified charger reliability scores
Live availability & queue prediction
Smart stop planning along routes
Multi-network charger integration
Cost & time optimized routing
Backup charger suggestions
New Touchpoint
Competitive Advantage/ Featurization:
Proactive Range Confidence Layer
(Drivers • Notifications • Infotainment)
Early range risk warnings
Predictive charging reminders
Situation-based driving suggestions
Emergency rerouting assistance
Stress-reducing UI cues
Confidence scoring for trips
New Touchpoint
Competitive Advantage/ Featurization:
EV Journey Insights Dashboard
(Drivers • Mahindra Ecosystem)
Trip efficiency summaries
Range accuracy history
Charging behavior analytics
Battery health trends
Cost savings visualization
Smart travel recommendations
We introduced a set of strategic, data-driven touch points to address range uncertainty across the EV journey.
These touch points integrate real-time vehicle data, predictive intelligence, and charging insights into a unified experience.
By shifting from static information to proactive guidance, the system enables confident decision-making at every stage of travel.
This approach strengthens user trust while supporting scalable, future-ready electric mobility.
VALUE PROPOSITION
How do we aim to enhance the Electric Vehicle drivers experience whilst driving?
To align user needs with system capabilities, we mapped key pain points against predictive EV solutions. This
framework highlights where Me4U delivers clear value by replacing uncertainty with real-time journey intelligence.
INTERVENTION
How can data-driven range prediction build trust in the EV ecosystem?
Context-aware range prediction based on terrain, traffic & driving style
Trip feasibility scoring before departure
Real-time charger availability with reliability indicators
Clear battery health & usable kWh visibility
Reduced cognitive load during long drives
Real-world range data insights for product refinement
Stronger infrastructure trust perception
Improved EV adoption confidence metrics
Differentiated intelligent IVI experience
Higher long-distance usage engagement
• Predictive charging demand insights
• Reduced last-minute charger congestion
• Data-backed infrastructure expansion planning
• Better utilization of existing networks
• Increased cross-network integration potential
Customers (Mahindra EV Owners)
Mahindra (Brand & Product Team)
Charging & Ecosystem Partners
Re-Designing the service system
Storyboarding and Mapping
Service Encounter
New Service Blueprint
Mobile Application & System Interface Design
DAY 16-18
DAY 19-20
DAY 21-22
DAY 23-31
Storyboarding captures key user interactions, while a service blueprint aligns customer and internal processes. The mobile app's design enhances navigation and personalization, creating a seamless, user centered service experience.
SERVICE ENCOUNTER
How do the VMS and Service Care App transform Mahindra’s post-sales service experience?
The redesigned service journey replaces fragmented manual operations with a connected digital ecosystem
enabling real-time coordination between customers, service advisors, managers, and technicians.
Activities:
Task & Service failures:
New Tasks & Service Recovery:
Customer initiates service request
Customers
Service Advisors
Mobile Application & IVI
DAY 1
Problem identification by customer
❌ Calling service center repeatedly
❌ Explaining symptoms verbally each time
Unclear service availability & waiting
Physical visit without confirmation
❌ Front-desk symptom re-entry
→ Book service slot via app
→ Enter symptoms digitally in structured form
→ Auto-assign request inside VMS to service advisor/manager
Activities:
Task & Service failures:
New Tasks & Service Recovery:
Diagnosis & Quotation
Customers
Service Advisors
Mobile Application & IVI
Initial inspection
❌ Manual job card creation
❌ Verbal updates on issues
❌ Delayed quotation communication
❌ Offline approval process
Vehicle handover without clear scope
→ Digital job card generated inside VMS
→ Diagnosis recorded in real time
→ Quotation shared through customer app
→ One-tap customer approval in app
DAY 2
Activities:
Task & Service failures:
New Tasks & Service Recovery:
Vehicle servicing process
Customers
Service Advisors
Mobile Application & IVI
Service as per job card
Tracking tools & parts manually
❌ Verbal progress updated
Deadline misalignment
❌ Unresolved issues noted informally
❌ No live visibility for managers
→ Task-based workflow in VMS
→ Real-time service status updates
→ Issues logged digitally inside job card
→ Managers track progress live in system
DAY 3-10
Activities:
Task & Service failures:
New Tasks & Service Recovery:
Pickup & follow-up
Customers
Service Advisors
Mobile Application & IVI
Final inspection & testing
❌ Manual customer notification
Test drive confirmation offline
Vehicle pickup coordination issues
❌ No structured feedback
❌ Manual follow-up calls
→ Automated service completion notification
→ Digital pickup confirmation
→ CSAT & feedback inside app
→ Automated follow-up messages
DAY 11
CUSTOMER JOURNEY MAPPING
How might the new system affect the customer's experience?
Visualizing the user’s end-to-end experience, highlighting actions, emotions, and pain points across each stage of interaction.
This journey map illustrates how predictive trip planning and real-time charging intelligence reduce range anxiety and build trust throughout the EV travel experience.
A Weekend Trip with Full Vehicle Load
STORYBOARDING
Solution Storyboarding
NEW BLUEPRINT
Making Every Step Better: The New EV Range Assurance Experience
This redesigned service flow proactively monitors battery deviations in real time, intervenes before anxiety escalates, and dynamically reroutes drivers to reliable charging, ensuring confidence, safety, and uninterrupted journeys.
1. Predictive Range Monitoring & Deviation Detection
Continuous tracking of SOC, terrain, traffic, and battery health to identify early range drops.
2. Proactive Alert & Calm Intervention
Low-stress IVI/app notifications explain deviation causes and initiate recalculation instantly.
3. Smart Route Replanning & Backup Charging
System finds nearest reliable charger and updates trip plan with charging time included.
4. Real-Time Navigation & Status Transparency
Live guidance to backup station with charger availability and updated arrival SOC.
5. Learning Loop & System Optimization
Trip data feeds predictive models to improve future range accuracy and reliability.
Power up your EV journey with the Me4U App
Seamlessly control your vehicle, manage charging, get alerts, and access essential features for a superior electric driving experience.
What happens when range, charging, and payment work as one system?
From prediction to payment, one trusted system that turns EV uncertainty into confidence
Bridging the gap between fragmented research and strategic research to identify systematic patterns.
Connecting the Dots: From Individual Anxiety to Design Opportunity
WIREFRAMES
Every model, every service, every interaction speaks the same design language: confident, human, and future-forward.
Connecting the Dots: From Individual Anxiety to Design Opportunity
Connecting the Dots: From Individual Anxiety to Design Opportunity
Mahindra EV is born from that lineage - the red badge that once symbolized strength in steel, now flowing as energy through silent motion. This isn’t a break from the past; it’s a reimagining of it. The architecture of Mahindra EV isn’t built in levels, but in layers which are legacy, design, technology, and purpose, each blending into the other.
Every model, every service, every interaction speaks the same design language: confident, human, and future-forward. Together, they form not a family of products but a collective of purpose.
Scroll to walkthrough the brand.
through its Colour Palette & Moodboard
through its Iconography & Typography
INTRODUCING
WIREFRAMES
Every model, every service, every interaction speaks the same design language: confident, human, and future-forward.
Connecting the Dots: From Individual Anxiety to Design Opportunity
SOLUTION
We have designed a mart companion for effortless car service - book appointment, track your vehicles status live, and access service history anytime, anywhere.
SERVICE CARE
Stay in sync with your car's service journey - from booking slots to real-time tracking and personalized care
A centralized, glanceable dashboard designed to sync your digital planning with real-world performance, ensuring you're always one step ahead of your journey.
Home Screen: The Predictive Pulse
This project pushed me to think beyond the screen and consider the "Digital Thread" between a driver’s home and their destination. I learned that in the automotive space, my role isn't just to present information, but to translate raw, technical complexity into a calm, confident human experience. By treating the car as a Tool for Thought, I realized that the most impactful design decisions are the ones that happen in the background—silently removing the "mental math" so the driver can simply enjoy the road.
Reflection & Takeaways
V2G (Vehicle-to-Grid) Synergy: Integrating smart energy management to allow the car to act as a home battery during peak demand, turning the EV into a financial asset.
Predictive Maintenance Integration: Using the health alerts already in place to auto-schedule service appointments when battery performance or tire pressure fluctuates.
Evolving the Ecosystem
NEXT STEP
A quick setup understands how you drive and where you go—so every prediction, charge stop, and alert feels tailored, not generic.