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Mobile UX Design Pathao · 2021

Restaurant Browsing & Order Process — Pathao Food

The Pathao Food app faced several user experience issues, including unclear item visuals, inconsistent search functionality, confusing menu navigation, and a problematic order confirmation process. These challenges hindered user engagement and satisfaction, leading to friction in the browsing and ordering experience.

My Roles

Problem finding Redesign planning Wireframes UI design Prototype & test Impact analysis

Team

Junaed Numan (me), Abu Shahed (UX Researcher), PM, Engineering team and other stakeholders.

Interactive prototype — click to explore

What problem is this solving and for who?

The comprehensive redesign of Pathao Food's user interface significantly improved navigation, search functionality, and interaction, leading to a more seamless and engaging food ordering experience.

Improved Visuals and Usability

Revamped the review and ratings screen to ensure consistency with the app's design system, enhancing visual appeal and improving the overall usability.

Simplified Customization

Item customization options, like for pizzas and burgers, were made more intuitive and user-friendly, allowing users to easily personalize their orders.

Enhanced Order Confirmation Process

Clarified the order confirmation screen, addressing user confusion around total bills and checkout details.

Design audit — Old UI

A systematic review of the existing interface revealed four key problem areas that were causing the most friction.

Menu Items and Navigation

Poor visual contrast made key elements hard to distinguish. The cluttered category navigation required users to scroll back to the top to collapse sections, and the filter option was often overlooked.

Search and Cart Flow

The search screen didn't optimize screen space, discounts had unclear badge placement, and the "View Cart" label confused users. Notifications about order availability came too late.

Reviews & Ratings

The review section lacked design consistency, and ordered items were not shown with reviews, making it hard for users to connect feedback to their orders.

Cart and Checkout

Address fields were unclear, the delivery location map feature was hidden, and the confirmation flow lacked polish, leading to confusion during checkout.

Creating Wireframes

Before jumping to high-fidelity, we explored layout options through wireframes to validate structure and navigation patterns.

Restaurant page wireframe
Menu copy wireframe
Menu wireframe
Reviews wireframe
Added items wireframe
Search wireframe
Search keyword wireframe
Search results wireframe

Defining success metrics

New Metrics

Establish baseline data for each of the 8 tracked metrics to enable future comparison.

Compare with Previous Data

Evaluate changes against historical benchmarks to quantify improvement.

Ongoing Measurement

Continuously track metrics to catch regressions and guide future iterations.

8 Key Metrics Tracked

  1. % of Increased Orders from Restaurants with Item-Level Pictures
  2. Items with Item-Level Pictures Added to Cart
  3. % of Users Using In-Restaurant Search
  4. % of Users Using In-Restaurant Filter
  5. % of Users Using Jump to Menu Feature
  6. % of Users Tapping on Delivery Location Field
  7. % of Orders with Flat/Road No. Field Populated
  8. Items Without Item-Level Pictures Added to Cart

Final solution overview

Primary Color Update (Red to Green)

Transitioned from a bold red to a calming green. This shift improves the food ordering experience by creating a more soothing, inviting atmosphere that encourages browsing.

Category Navigation

Updated the menu for smoother navigation, where selecting a category directly scrolls to the relevant item list — no more manual scrolling to find sections.

Item-Level Images

Added images to menu items, allowing users to easily order popular items without browsing the entire menu — reducing decision fatigue.

Enhanced Browsing

Improved the floating menu button's visibility and aesthetics with micro-interactions, boosting user engagement and discoverability of key actions.

Release Impact

10% Optimizing the restaurant and order processes led to a significant 10% improvement in order completion rates. By improving the UI design, prototyping, and user research, we made the app easier and more enjoyable to use.