This project was a hypothesis-driven proof of concept designed to demonstrate UX design capabilities to support the RFP (Request for Proposal) for Govt. of India. Which explore how users might interact with an EV charging application. The goal was to simulate a “happy path” experience for electric vehicle users to locate, initiate, and manage a charging session through a mobile app. Although this was not a full production build, it offered an opportunity to apply end-to-end UX practices in a controlled, assumption-based environment.

Note: This project was conducted during the pandemic. Due to limited access to real users, all personas, empathy maps, and flows were created based on hypothetical user scenarios and competitor analysis to simulate ideal behaviours and demonstrate UX capabilities.

Design Problem (Why)

This app enables 2-wheeler/3-wheeler EV users to connect to BLE-based charging stations, initiate charging,
and manage billing/history. Its goal is to streamline the BLE connectivity process, minimize user input, and ensure successful sessions even with unreliable network connectivity. The solution supports a PoC demonstrating a complete Happy Flow from QR scan to charging session and invoicing. Error handling excluded.

Design Process

1. Target Users (Who)

• EV Riders (2-wheeler/3-wheeler)
• Charge Point Operators (CPO) – Backend integration
• teams (HOBS EV) – BLE hardware manufacturers

2. Use Context (Where & When)

• Where: Used during on-the-go charging at public or society chargers. At home, at work
• When: Before starting a trip (for planning), during travel (for locating stations), or while charging (to monitor status)

3. Key Features (What)

• QR Scan + BLE Pairing
• Station Finder with map-based location
• Charging session tracking (start, pause, stop)
• BLE-based device connection (simulated)
• Payment summary and session history

4. UX Approach & Activities (How)

We treated this as a full UX design exercise:

UX Activity	Purpose
Empathy Mapping	Defined user needs, frustrations, and expectations
Card Sorting	Refined app’s content structure and hierarchy
User Task Flows	Mapped out key steps (e.g., Locate → Connect → Charge)
Wireframes	Built mid/high-fidelity screens using Figma
Heuristic Eval.	Reviewed designs for usability and accessibility gaps

All research and design decisions were validated internally through stakeholder feedback and secondary data.

UX Activities Performed

Empathy Mapping: To understand the emotional, cognitive, and behavioral patterns of EV users. This helped visualize what users say, think, do, and feel during a charging journey.

Empathy Map

Card Sorting: Conducted a closed card sorting exercise to evaluate how users would expect information to be grouped within the app’s navigation.

Digital Card Sorting

User Task Flow Diagram: Mapped out the “happy flow” charging journey (10 steps) from locating the charger to completing a session and viewing charging history.

User Task Flow

Heuristic Evaluation: Assessed comparable apps to identify common pain points and UI solutions.

Wireframes & Interactive Prototypes: Created mid-fidelity screens in Adobe XD, which focused on BLE pairing, start/stop charging, and real-time feedback.

Design Documentation: Articulated UI behavior aligned with BLE technical constraints, including fallback UI states in case of disconnects or mobile issues.