Dripp EV
Assignment Task
UX / UI
Duration : 2days
Problem Statement:
EV users often struggle to plan trips that balance route optimization, time, and distance while managing their charging needs. The uncertainty of finding available charging stations, estimating charge times, and ensuring a smooth journey without delays creates anxiety and inefficiencies.
Dripp EV addresses this by providing real-time data on charging stations, integrating personal preferences, and offering seamless trip planning tools. With Dripp EV, users can confidently optimize their routes, manage charging times, and enjoy stress-free journeys.
Note: Parking options were left open and flexible due to the varying infrastructure and service across EV charging stations in India.
User Needs and Preferences
( Primary Pain Points )
Route Optimization and Charging Needs
Difficulty in planning trips with optimized routes, considering charging availability, distance, and traffic.
Charging Station Availability
Uncertainty about station availability and waiting times, leading to delays.
Charging Alerts and Scheduling
Lack of reminders for charging and recommendations for optimal times.
Journey Feasibility
Inability to assess whether the journey can be completed with the current battery level.
Booking and Reservation Support
Users are unable to reserve charging stations in advance, leading to uncertainty about availability and extended wait times.
( Secondary Pain Points )
Preferred Charging Stations
Inability to incorporate user-preferred stations based on speed, cost, and availability.
Cost & Time Estimates
Lack of upfront details on charging costs and time required for charging and total trip duration.
Customization of Preferences
Inflexibility in trip planning based on user-specific needs like charging frequency or travel speed.
( Tertiary Pain Points )
Parking Assistance:
Difficulties in finding parking near charging stations, especially during peak hours.
Station Amenities:
Lack of information on charging station amenities (e.g., restrooms, food outlets).
Support and Assistance:
No access to assistance services in case of issues with the charging process or EV support.
( Service requirements )
Accessibility at Charging Stations
Accessibility at Charging Stations: Parking availability, particularly at crowded stations or for users with disabilities.
Context Narration
User Dhashna’s EV Charging Journey
Note : Context defined with application in use, but also highlights clear painpoints, needs and preferences at different stages of journey.
Exposition:
Dhashna, a daily EV commuter, starts his morning routine, ready to drive to work. He checks his EV’s battery level and realizes it’s down to 12%, insufficient for his usual route. He opens the EV charging app, hoping to optimize his trip with minimal delays, as he’s already running late for a meeting.
Notifications
Helps user to be informed and find critical information at regulars interval without missing it. Curated for individual EV and user routines.
12 %
Dripp EV.42m
Battery has dropped below 15%
Find station
Dripp EV
Charge
12 %
Current Range
14 km
Remaining Run time
24 mins
12 %
Dripp EV.3m
Insufficient charge for your usual trip to Work BLR. Feasible with charge for 10 mins.
Find station
Dripp EV. 2m
Your Preferred charging awaits booking
Zeon EV station, Hsr Phase 2, Bangalore 631502.
Book station
Conflict/Expectation:
Dhashna needs a charging station along his route that is both available and efficient, but he’s unsure whether he’ll find one without adding unnecessary time to his trip. He expects the app to assist him by finding a fast, available station that won’t delay his schedule.
Primary Pain Points Activated:
Route Optimization and Charging Needs: He’s concerned about optimizing his route with minimal delays while ensuring he can charge the EV.
Charging Station Availability: Uncertainty about the availability of stations along his route is creating stress.
Journey Feasibility: He’s unsure if he can reach the station and continue to work with his current battery level.
Route Optimization and Station recommendations
Helps users stay informed and adjust routes dynamically based on charging station availability, traffic, and distance.
Journey Feasibility
Helps users assess the feasibility of their journey and optimally time their trip.
Escalation:
The app suggests three routes, considering traffic, distance, and charging stations. One route offers a direct path but warns of a busy charging station. Another suggests a detour to a faster, less crowded charger, and the third risks running out of battery before finding a station.
Secondary Pain Points Activated:
Preferred Charging Stations: Dhashna prefers certain stations due to charging speed and cost but is unsure if his preference can be accommodated without further delay.
Cost & Time Estimates: He’s anxious about how long charging will take and the total time his trip will consume.
Preferred Charging Stations With time estimation
Helps users choose stations by providing information on locations, charger types, routes, and feasibility of reaching the station.
All stations
CHAdeMO
CCS-2
AC Type-2
Know Feasibility, Cost & other preferences
Helps users select the best available station for a feasible journey while optimizing for charging availability and cost requirements.
Booking (Reserve) and Navigation Flow
Climax:
Upon arriving at the charging station, Dhashna realizes that several other vehicles are parked, and charging spots are limited. However, thanks to the app’s Booking and Reservation Support feature, he reserved a spot beforehand. He parks without any hassle and charges his EV.
Tertiary Pain Points Activated:
Parking Assistance: Finding parking at crowded stations is a challenge, but Dhashna benefits from the app's reserved spot, easing his worries.
Station Amenities: While his EV charges, the app informs him that the station has a nearby café where he can grab a quick coffee during the wait.
Support and Assistance: The app’s support feature is available if he faces any issues, giving him peace of mind.
Bookings & Charging initiation
Payment
Falling Action:
After 25 minutes, his EV is charged to 48%, and the app recalculates his route, ensuring he’ll make it to work just in time. The journey feasibility checker confirms he has enough battery to comfortably reach his office.
Resolution:
Dhashna arrives at work, relieved that the app seamlessly helped him navigate the situation by optimizing his route, charging efficiently, and providing timely assistance. With features like Route Optimization, Charging Alerts, Preferred Stations Integration, Booking, and station Assistance, the app transformed what could have been a stressful experience into a smooth and efficient journey. Dhashna now feels confident that future trips will be just as seamless.
Thank you !