Auto link E-Commerce app design
AutoLink is a car buying and selling e-commerce app designed to reduce friction in the automotive marketplace. The project focused on solving common user pain points such as complex listings, lack of pricing transparency, and inefficient buyer–seller communication. Through user research, journey mapping, and iterative prototyping, AutoLink delivers a streamlined experience that allows users to browse, compare, buy, and sell vehicles with confidence. The final solution emphasizes intuitive navigation, clear information hierarchy, and trust-driven interactions, creating a fast, user-centered experience across mobile and web platforms.
Problem Statement
Buying and selling cars online is often overwhelming due to cluttered interfaces, inconsistent listings, lack of pricing transparency, and poor communication between buyers and sellers. Users struggle to find reliable information quickly, which leads to mistrust, frustration, and abandoned transactions. AutoLink aims to simplify this process by creating a clear, trustworthy, and efficient car marketplace experience.
User Goals
- Quickly browse and compare cars using clear filters and categories
- View transparent pricing, vehicle details, and history without confusion
- Communicate easily and securely with buyers or sellers
- List a car for sale with minimal steps and effort
- Feel confident and informed throughout the buying or selling journey
Design Process
1. Research & Discovery
- Conducted competitive analysis of existing car marketplace apps
- Identified common pain points through user interviews and surveys
Competitor Analysis
2. Define & Ideate
- Created user personas and journey maps for buyers and sellers
- Defined key workflows such as search, listing, comparison, and checkout
User Personas
3. Design & Prototype
- Built low-fidelity wireframes to validate layouts and user flows
- Designed high-fidelity UI and interactive prototypes in Figma
4. Test & Iterate
- Ran usability testing to identify friction points
- Refined navigation, CTAs, and content hierarchy based on feedback
Visual Design
Key UX Decisions
- Simplified Search & Filters: Prioritized essential filters (price, mileage, location, condition) to reduce cognitive load
- Trust-Focused Design: Highlighted verified sellers, car history, and pricing clarity to increase confidence
- Streamlined Listing Flow: Reduced the seller onboarding process to a few guided steps
- Clear Information Hierarchy: Structured vehicle details for fast scanning and decision-making
