Nearbuy App Redesign
Fashion & Goods Category

Make your life easier, faster and more efficient

THE CONTEXT

Nearbuy is a local search and discovery platform that connects users with the best deals and offers from local businesses and service providers in their city.

THE PROBLEM

The core problem was that the Nearbuy app’s user experience and information architecture were no longer aligned with the platform’s growing offerings.
Users struggled to discover deals across new categories, engagement was dropping, and feature limitations were affecting retention.
A redesign was required to create a more intuitive, visually modern, and scalable experience.

HIGH LEVEL TIMELINE

3-4 Months

MAKE OF THE TEAM

I worked as an individual contributer with my manager

KEY GOAL

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GOAL

Improve the app’s experience, modernize the UI, and scale the structure to support new offerings and increased user engagement.

MY ROLE & IMPACT

Scaled the Information Architecture to accommodate new categories and future offerings.
Designed the Fashion & Goods category from scratch, including IA, user flows, and UI.
Developed the end-to-end checkout flow to improve clarity and conversion.
Collaborated cross-functionally to ensure usability, consistency, and seamless feature expansion.

BEFORE REDESIGN

RESEARCH

Benchmarking

We performed benchmarking and category benchmarking of other products available in the market.

SURVEYS

Developed a set of questions for prospective users to understand their buying behavior on other shopping portals and on nearbuy, focusing on buying patterns, frequency, and desirable features to improve transaction success rates and revisit designs for enhanced user experience.

PERSONA

Built user personas to better understand our target audience

INFORMATION ARCHITECTURE

Created an Information Architecture to understand the broader perspective of the complete product

FEATURE PRIORITIZATION

To ensure the Nearbuy app effectively meets user needs and stays competitive, it's crucial to prioritize features strategically. Using the MoSCoW method, we can categorize the features based on their importance and urgency.

USER STORIES

DESIGN EXPLORATIONS

I explored multiple approaches to product landing pages and detail views, testing different layouts, grid structures, and filtering mechanisms to find the optimal solution.

Product Landing Screen

Product Detail Screen

FINAL DESIGN SOLUTION

After evaluating all explorations, we chose a low-fidelity design direction for Fashion & Goods that balances simplicity with functionality. This approach prioritizes fast browsing while maintaining essential e-commerce features.