India's EV market projected value by 2029. Connected mobility services, the software layer is the highest-margin segment in this stack.
EV penetration is <3% today, design that removes fear accelerates adoption
Growing 49% YoY, every new buyer needs
to build trust with the technology
Infrastructure expanding, but real-time reliability data is still missing
TOTAL MARKET OPPORTUNITY
$110B
VEHICLES ON INDIAN ROADS
330M+
EVS SOLD IN INDIA IN 2023
1.6M
PUBLIC CHARGERS BY 2027
100k+
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
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
8 Weeks
My Team
My Role
UX Design
Interaction Prototyping
Service Design
System Design
Tools
Figma
FigJam
Miro
Reducing Range Anxiety for EV Users
Redefining Range Confidence & Trust for EV Users
01 | CONTEXT
India is the world's third-largest automotive market, shifting fast to electric. Mahindra leads with the BE 6e and XEV 9e.
But the infrastructure hasn't caught up with the ambition and the gap lives entirely in the driver's head.
India's EV moment, held back by one feeling.
City-based EV owners, 30–45 yrs. Drive 40–80km daily. High digital literacy. Fear long trips.
~800K
Weekend + holiday drivers, 150–400km trips. Cross-references 3+ apps before leaving. Most anxious.
~320K
Just switched from ICE. Doesn't understand battery behavior. Needs education + reassurance. Highest churn risk.
~480K
URBAN DAILY COMMUTER
INTERCITY TRAVELLER
FIRST TIME EV ADOPTER
WHO ARE WE DESIGNING FOR?
70%
of EV owners experience anxiety about running out of charge
65%
use guesswork to plan charging & no predictive tools exist
30%
real-world range variance from static estimates & ignored by current IVI
60%+
of potential buyers cite range uncertainty as reason to delay EV purchase
THE PROBLEM
02 | HYPOTHESIS
Before any research, we formed core hypotheses - testable beliefs about user behavior and system design that would guide every decision.
What we were betting on.
"If the system explains why range drops, users will trust it more than if it just shows accurate data."
HYPOTHESIS 01 · TRUST
"If we show trip feasibility before departure, users will attempt longer journeys they currently avoid."
HYPOTHESIS 02 · ACTIVATION
SERVICE CARE
Stay in sync with your car's service journey - from booking slots to real-time tracking and personalized care
ONBOARDING
A quick setup understands how you drive and where you go, so every prediction, charge stop, and alert feels tailored, not generic.
A centralized control hub for secure payments and real-time service insights to emergency support and digital documents.
Personal Details, Charging History, Payment and Emergency - All in one?
Takes time to open up the app and search?
Find the charging station as soon as you open the app based on your location.
Add it as a widget to you Home Screen to save time searching
Real-time discovery. Effortless navigation. Zero range anxiety.
CHARGING STATION
Charging, Simplified
Intelligently plans your EV journeys predicting energy usage, recommending optimal charging stops, and recalculating routes in real time so you always stay in control.
TRIP PLANNER
Drive farther with confidence
An intelligent HMI that predicts range, plans charging, and adapts routes in real time.
Confidence, built into every EV journey
Charging stations integrated into the journey to enable seamless long-distance EV travel.
Get live charging updates in the In-Vehicle Dashboard without opening your phones
Predictive battery insights that help drivers understand range and make confident charging decisions.
Maps and insights making your journey smooth
A navigation system that dynamically optimizes routes based on energy consumption, traffic, and distance.
Adaptive EV Navigation
The most powerful UX decisions happen in the background, where trust is built through honesty and problems are rarely where you expect them, and even initial domain ignorance can become a design advantage, followed by usability testing to validate assumptions and iterating based on real user feedback.
10 | KEY LEARNINGS
What this project actually taught me.
Not just design skills, ways of thinking I didn't have before. Each one is a tool I'll carry into every project from here.
09 | KNOWLEDGE GAP
What we didn't know going in.
The gaps we identified before research started and how we closed them. Being honest about what you don't know is how you design the right research.
08 | BUSINESS IMPACT
Designed for scale from day one.
Projected increase in long distance trip attempts when drivers have pre departure confidence scoring expands EV use beyond city commuting.
+40%
PROJECT IMPACT
REVENUE LAYER
EV charging + connected services by 2030
$30B+
RETENTION DRIVER
Daily active usage vs. stock IVI system
3× DAU
04 | THE STRATEGY SHIFT
Before designing screens, we mapped the entire EV journey to locate where trust bleeds out. The problem wasn't the battery. It was the silence around it.
From reactive to anticipatory.
05 | AARRR - FULL GROWTH FRAMEWORK
We didn't design features and then find where they fit in AARRR. We built the product so that every touchpoint directly addresses a specific growth lever - acquisition, activation, retention, revenue, or referral.
Every feature is a growth mechanism.
BEFORE - REACTIVE SYSTEM
✖ Static battery % with no context
✖ Range drops without explanation
✖ Manual charger search across 3+ apps
✖ No trip feasibility before departure
✖ Driver carries all cognitive load
✖ No learning from past trips
AFTER- ANTICIPATORY SYSTEM
✔ Context-aware range with terrain, traffic, AC
✔ Proactive “why” alerts on any deviation
✔ Unified charger reliability layer in-app
✔ Pre-departure feasibility score
✔ System carries the mental math
✔ Post-trip data improves future predictions
→
60–70% of buyers delayed by range fear (content, word-of-mouth, brand trust reduce this)
First meaningful moment: feasibility score shown for user’s real route in <3 min
Daily pre-trip ritual. Post-trip insights. Battery health loop. 3× DAU vs. stock IVI
1-tap charge + pay within the journey. Mahindra owns the transaction layer
Eco-Sense score sharing. Confident drivers become the brand’s best evidence
ACQUISITION
ACTIVATION
RETENTION
REVENUE
REFERRAL
60-70%
↑40%
3✕DAU
1 Tap
NPS ↑
60–70% of buyers delay EV purchase due to range uncertainty.
THE PROBLEM
Pre-purchase clarity through real route feasibility.
ROLE
Pre Sales confidence tool
Demo Mode shows range, chargers, and arrival battery instantly.
LEVER
ACQUISITION
Users see their own commute translated into a confidence score.
THE MOMENT
Quick setup generates a real-time range readiness score.
HOW IT WORKS
First Session Value
D1 return validates meaningful first experience.
METRIC
ACTIVATION
Before, during, and after trip insights create a daily habit.
THE LOOP
Battery trends, savings visibility, and seamless car sync.
HOOKS
Utility Retention
Consistent utility builds retention, not notifications.
WHY IT WORKS
RETENTION
"Trust isn't designed through accuracy alone but through honest, anticipatory systems. When uncertainty is surfaced clearly, confidence becomes implicit."
03 | FINDING THE LEAK
Before designing screens, we mapped the entire EV journey to locate where trust bleeds out. The problem wasn't the battery. It was the silence around it.
Joining the dots where the system breaks.
THE TRUST LEAK
100%
Driver starts journey
-22% unexplained
→
78%
AC + Terrain kicks in
-22% unexplained
→
54%
Sudden range drop
-24% panic begins
→
31%
Charger search fails
-23% broken chargers
THE IMAGES HAVE BEEN AI GENERATED
Through conversations with drivers and experts, I identified key pain points around energy awareness, charging friction, and navigation inefficiencies.
Uncovering the Real EV Experience
Charging and connected services unlock a high-value ecosystem.
OPPORTUNITY
End-to-end charging and payment within one flow.
MODEL
Transation + Subscription
More trips improve data, trust, and transaction frequency.
FLYWHEEL
REVENUE
Eco score turns efficiency into a shareable signal.
MECHANIC
Confident EV usage becomes identity and social proof.
BEHAVIOR
Social Proof Engine
More users improve data, strengthening the system.
EFFECT
REFERRAL
Google Maps shows incorrect data?
Find the nearest charging station when your battery runs out
Live updates if the charger is in use or available
Tired of waiting in queues at the charging station not knowing the availability of the chargers?
Prebook the charging station to avoid waiting in queues
Filter out charging station based on your priorities
In-built maps where you can add stops
Network issues whilst traveling & unable to search stations?
Input the route and the app shows the available route with the charging stations available on the way
Range prediction is still not correct?
Input the location, passenger and luggage count which helps predict battery range based on the weather and load
WIREFRAMES IDEATION
LOW FIDELITY WIREFRAMES
USER FLOW
UI KIT
06 | VISUAL IDENTITY
Every visual decision, colour, type, iconography reinforces one emotion: calm certainty. The interface never competes with the road.
A language built on confidence.
through its Iconography & Typography
through its Colour Palette & Moodboard
07 | SOLUTION
Bridging IVI and mobile into a single predictive intelligence layer, translating raw telemetry into calm, human guidance at exactly the right moment.
One system. Every confidence touchpoint.
What happens when range, charging, and payment work as one system?
From prediction to payment, one trusted system that turns EV uncertainty into confidence
Power up your EV journey
Seamlessly control your vehicle, manage charging, get alerts, and access essential features for a superior electric driving experience.
01 DOMAIN KNOWLEDGE
Range is not fixed. It shifts with speed, terrain, and temperature. We needed to understand the system before designing for the user.
02 INFRASTRUCTURE REALITY
The charging network is inconsistent. Reported reliability did not match reality. Broken stations, incompatible systems, and app dependency were common.
03 MENTAL MODELS
Users think in fuel, not range. Most drivers still approach EVs like petrol vehicles, which creates anxiety and poor planning.
04 IVI DESIGN CONSTRAINTS
Designing for attention, not interaction. Every second matters in a moving car. Information needs to be instant, clear, and glanceable.
IN-VEHICLE INFOTAINMENT SYSTEM
Glad we could cross paths!
I hope it left you with a bit of curiosity and inspiration.
LET'S CONNECT!
+91 96000 95584
70%
of EV owners experience anxiety about running out of charge
65%
use guesswork to plan charging & no predictive tools exist
30%
real-world range variance from static estimates & ignored by current IVI
60%+
of potential buyers cite range uncertainty as reason to delay EV purchase
TL;DR
Core Experience
Reduce range anxiety for 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.
India's EV market projected value by 2029. Connected mobility services, the software layer is the highest-margin segment in this stack.
Growing 49% YoY, every new buyer needs
to build trust with the technology
EV penetration is <3% today, design that removes fear accelerates adoption
Infrastructure expanding, but real-time reliability data is still missing
URBAN DAILY COMMUTER
~800K
City-based EV owners, 30–45 yrs. Drive 40–80km daily. High digital literacy. Fear long trips.
INTERCITY TRAVELLER
~320K
Weekend + holiday drivers, 150–400km trips. Cross-references 3+ apps before leaving. Most anxious.
FIRST TIME EV ADOPTER
~480K
Just switched from ICE. Doesn't understand battery behavior. Needs education + reassurance. Highest churn risk.
THE IMAGES HAVE BEEN AI GENERATED
02 | HYPOTHESIS
What we were betting on.
Before any research, we formed core hypotheses - testable beliefs about user behavior and system design that would guide every decision.
HYPOTHESIS 01 · TRUST
"If the system explains why range drops, users will trust it more than if it just shows accurate data."
HYPOTHESIS 02 · ACTIVATION
"If we show trip feasibility before departure, users will attempt longer journeys they currently avoid."
"Trust isn't designed through accuracy alone but through honest, anticipatory systems. When uncertainty is surfaced clearly, confidence becomes implicit."
01 | CONTEXT
India's EV moment, held back by one feeling.
India is the world's third-largest automotive market, shifting fast to electric. But the infrastructure hasn't caught up with the ambition and the gap lives entirely in the driver's head.
TOTAL MARKET OPPORTUNITY
$110B
VEHICLES ON INDIAN ROADS
330M+
EVS SOLD IN INDIA IN 2023
1.6M
PUBLIC CHARGERS BY 2027
100k+
THE PROBLEM
Redefining Range Confidence & Trust for EV Users
Reducing Range Anxiety for EV Users
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.
My Team
Timeline
8 Weeks
My Role
UX Design
Interaction Prototyping
Service Design
System Design
Tools
Figma
FigJam
Miro
Interview Interpretations
100%
Driver starts journey
-22% unexplained
↓
78%
AC + Terrain kicks in
-22% unexplained
↓
54%
Sudden range drop
-24% panic begins
↓
31%
Charger search fails
-23% broken chargers
THE TRUST LEAK
Uncovering the Real EV Experience
Through conversations with drivers and experts, I identified key pain points around energy awareness, charging friction, and navigation inefficiencies.
ACQUISITION
ACTIVATION
RETENTION
REVENUE
REFERRAL
60–70% of buyers delayed by range fear (content, word-of-mouth, brand trust reduce this)
First meaningful moment: feasibility score shown for user’s real route in <3 min
Daily pre-trip ritual. Post-trip insights. Battery health loop. 3× DAU vs. stock IVI
1-tap charge + pay within the journey. Mahindra owns the transaction layer
Eco-Sense score sharing. Confident drivers become the brand’s best evidence
60-70%
↑40%
3✕DAU
1 Tap
NPS ↑
04 | THE STRATEGY SHIFT
From reactive to anticipatory.
Before designing screens, we mapped the entire EV journey to locate where trust bleeds out. The problem wasn't the battery. It was the silence around it.
BEFORE - REACTIVE SYSTEM
✖ Static battery % with no context
✖ Range drops without explanation
✖ Manual charger search across 3+ apps
✖ No trip feasibility before departure
✖ Driver carries all cognitive load
✖ No learning from past trips
→
AFTER- ANTICIPATORY SYSTEM
✔ Context-aware range with terrain, traffic, AC
✔ Proactive “why” alerts on any deviation
✔ Unified charger reliability layer in-app
✔ Pre-departure feasibility score
✔ System carries the mental math
✔ Post-trip data improves future predictions
ACQUISITION
60–70% of buyers delay EV purchase due to range uncertainty.
THE PROBLEM
Pre-purchase clarity through real route feasibility.
ROLE
Pre Sales confidence tool
Demo Mode shows range, chargers, and arrival battery instantly.
LEVER
ACTIVATION
Users see their own commute translated into a confidence score.
THE MOMENT
Quick setup generates a real-time range readiness score.
HOW IT WORKS
First Session Value
D1 return validates meaningful first experience.
METRIC
RETENTION
Before, during, and after trip insights create a daily habit.
THE LOOP
Battery trends, savings visibility, and seamless car sync.
HOOKS
Utility Retention
Consistent utility builds retention, not notifications.
WHY IT WORKS
REVENUE
Charging and connected services unlock a high-value ecosystem.
OPPORTUNITY
End-to-end charging and payment within one flow.
MODEL
Transation + Subscription
More trips improve data, trust, and transaction frequency.
FLYWHEEL
REFERRAL
Eco score turns efficiency into a shareable signal.
MECHANIC
Confident EV usage becomes identity and social proof.
BEHAVIOR
Social Proof Engine
More users improve data, strengthening the system.
EFFECT
03 | FINDING THE LEAK
Joining the dots where the system breaks.
Before designing screens, we mapped the entire EV journey to locate where trust bleeds out. The problem wasn't the battery. It was the silence around it.
05 | AARRR - FULL GROWTH FRAMEWORK
Every feature is a growth mechanism.
We didn't design features and then find where they fit in AARRR. We built the product so that every touchpoint directly addresses a specific growth lever - acquisition, activation, retention, revenue, or referral.
through its Iconography & Typography
through its Colour Palette & Moodboard
06 | VISUAL IDENTITY
A language built on confidence.
Every visual decision, colour, type, iconography reinforces one emotion: calm certainty. The interface never competes with the road.
What happens when range, charging, and payment work as one system?
From prediction to payment, one trusted system that turns EV uncertainty into confidence
Power up your EV journey
Seamlessly control your vehicle, manage charging, get alerts, and access essential features for a superior electric driving experience.
07 | SOLUTION
One system. Every confidence touchpoint.
Bridging IVI and mobile into a single predictive intelligence layer, translating raw telemetry into calm, human guidance at exactly the right moment.
WIREFRAMES IDEATION
LOW FIDELITY WIREFRAMES
USER FLOW
UI KIT
A centralized, glanceable home screen
A centralized control hub for secure payments and real-time service insights to emergency support and digital documents.
CHARGING STATION
Charging, Simplified
Real-time discovery. Effortless navigation. Zero range anxiety.
Find the nearest charging station when your battery runs out
Live updates if the charger is in use or available
Filter out charging station based on your priorities
Prebook the charging station to avoid waiting in queues
TRIP PLANNER
Drive farther with confidence
Intelligently plans your EV journeys predicting energy usage, recommending optimal charging stops, and recalculating routes in real time so you always stay in control.
Input the location, passenger and luggage count which helps predict battery range based on the weather and load
In-built maps where you can add stops
Shows the available route with the charging stations available on the way
IN-VEHICLE INFOTAINMENT SYSTEM
Confidence, built into every EV journey
An intelligent HMI that predicts range, plans charging, and adapts routes in real time.
Predictive battery insights that help drivers understand range and make confident charging decisions.
Charging stations intelligently integrated into the journey to enable seamless long-distance EV travel.
A navigation system that dynamically optimizes routes based on energy consumption, traffic, and distance.
SERVICE CARE
Stay in sync with your car's service journey - from booking slots to real-time tracking and personalized care
ONBOARDING
HOME SCREEN
PROFILE
EV Energy Intelligence
Smart Charging Integration
Adaptive EV Navigation
A quick setup understands how you drive and where you go, so every prediction, charge stop, and alert feels tailored, not generic.
08 | BUSINESS IMPACT
Designed for scale from day one.
REVENUE LAYER
EV charging + connected services by 2030
$30B+
RETENTION DRIVER
Daily active usage vs. stock IVI system
3× DAU
+40%
Projected increase in long distance trip attempts when drivers have pre departure confidence scoring expands EV use beyond city commuting.
01 DOMAIN KNOWLEDGE
Range is not fixed. It shifts with speed, terrain, and temperature. We needed to understand the system before designing for the user.
The most powerful UX decisions happen in the background, where trust is built through honesty and problems are rarely where you expect them, and even initial domain ignorance can become a design advantage, followed by usability testing to validate assumptions and iterating based on real user feedback.
PROJECT IMPACT
02 INFRASTRUCTURE REALITY
The charging network is inconsistent. Reported reliability did not match reality. Broken stations, incompatible systems, and app dependency were common.
03 MENTAL MODELS
Users think in fuel, not range. Most drivers still approach EVs like petrol vehicles, which creates anxiety and poor planning.
04 IVI DESIGN CONSTRAINTS
Designing for attention, not interaction. Every second matters in a moving car. Information needs to be instant, clear, and glanceable.
09 | KNOWLEDGE GAP
What we didn't know going in.
The gaps we identified before research started and how we closed them. Being honest about what you don't know is how you design the right research.
10 | KEY LEARNINGS
What this project actually taught me.
Not just design skills, ways of thinking I didn't have before. Each one is a tool I'll carry into every project from here.
Glad we could cross paths!
I hope it left you with a bit of curiosity and inspiration.
LET'S CONNECT!
+91 96000 95584