B2C mobile app
B2C mobile app
Delivery service
Delivery service
Uber Eats
Uber Eats
As part of a product design initiative, I focused on improving the delivery experience for Uber Eats couriers. My work centered around redesigning the core mobile workflows to reduce friction, boost delivery efficiency, and improve real-time communication.
As part of a product design initiative, I focused on improving the delivery experience for Uber Eats couriers. My work centered around redesigning the core mobile workflows to reduce friction, boost delivery efficiency, and improve real-time communication.
I collaborated with business goals and user needs to redesign order tracking, pickup/drop-off flows, and in-app navigation. I identified key usability challenges through competitive analysis, heuristic evaluation, and feedback from real couriers.
I collaborated with business goals and user needs to redesign order tracking, pickup/drop-off flows, and in-app navigation. I identified key usability challenges through competitive analysis, heuristic evaluation, and feedback from real couriers.
The redesign aimed to minimize multi-tasking stress, reduce cognitive overload, and help couriers feel more confident and in control — even in high-pressure urban environments.
The redesign aimed to minimize multi-tasking stress, reduce cognitive overload, and help couriers feel more confident and in control — even in high-pressure urban environments.
At Uber Eats, design isn’t just about visuals — it’s about reducing friction in the moments that matter. Every screen, tap, and detail is shaped to bring food closer to people, faster and clearer.
At Uber Eats, design isn’t just about visuals — it’s about reducing friction in the moments that matter. Every screen, tap, and detail is shaped to bring food closer to people, faster and clearer.
At Uber Eats, design isn’t just about visuals — it’s about reducing friction in the moments that matter. Every screen, tap, and detail is shaped to bring food closer to people, faster and clearer.
Designing Clarity for Every Bite
Designing Clarity for Every Bite
Designing Clarity for Every Bite
Reliable
Reliable
Reliable
Fast
Fast
Fast
Personalized
Personalized
Personalized
Whatever you forget, remember
— Uber Eats gets almost anything.
Whatever you forget, remember
— Uber Eats gets almost anything.
Whatever you forget, remember
— Uber Eats gets almost anything.
Project overview
Project overview
Uber Eats is one of the leading food delivery platforms, connecting restaurants, couriers, and customers in real time. My project focused on enhancing the mobile experience to improve order tracking, delivery efficiency, and overall usability for couriers and customers.
The redesign aimed to:
Simplify navigation and reduce friction in the order management flow.
Improve real-time order tracking and communication between users and couriers.
Create a clean, intuitive interface that supports quick decision-making in high-pressure scenarios.
Through research, competitor analysis, and iterative prototyping, I developed design solutions that address pain points for both couriers and customers, resulting in a smoother and faster delivery process.
Uber Eats is one of the leading food delivery platforms, connecting restaurants, couriers, and customers in real time. My project focused on enhancing the mobile experience to improve order tracking, delivery efficiency, and overall usability for couriers and customers.
The redesign aimed to:
Simplify navigation and reduce friction in the order management flow.
Improve real-time order tracking and communication between users and couriers.
Create a clean, intuitive interface that supports quick decision-making in high-pressure scenarios.
Through research, competitor analysis, and iterative prototyping, I developed design solutions that address pain points for both couriers and customers, resulting in a smoother and faster delivery process.
Design Challenge
Design Challenge
01.
01.
Confusing Order Flow:
Users had to switch between too many screens to place an order, which caused delays
and confusion during peak hours.
Confusing Order Flow:
Users had to switch between too many screens to place an order, which caused delays
and confusion during peak hours.
02.
02.
Poor Real-Time Tracking:
The tracking screen lacked visual clarity and accurate time estimates, making it
hard to know when the courier would arrive.
Poor Real-Time Tracking:
The tracking screen lacked visual clarity and accurate time estimates, making it
hard to know when the courier would arrive.
03.
03.
Weak User-Courier Communication:
Users often couldn’t contact the courier or received no feedback after
placing the order, leading to frustration and dropped trust.
Weak User-Courier Communication:
Users often couldn’t contact the courier or received no feedback after
placing the order, leading to frustration and dropped trust.
Design System
Design System
To ensure consistency and usability across the new designs, I followed the official Uber Eats design language.
I used their established color system, typography, and component styles to keep the UI clean, accessible, and instantly recognizable to users.
– The color palette includes a full range of primary greens, neutrals, and accent tones used across backgrounds, text, and CTAs.
– The input components were designed for fast interaction and easy data entry, including form fields, dropdowns, and verification flows.
– The button system supports various use cases — from delivery mode filters to call-to-actions — all styled with consistent spacing and states.
By building on the existing system and adapting components for the order flow, I created an experience that feels native to Uber Eats but more streamlined and intuitive.
To ensure consistency and usability across the new designs, I followed the official Uber Eats design language.
I used their established color system, typography, and component styles to keep the UI clean, accessible, and instantly recognizable to users.
– The color palette includes a full range of primary greens, neutrals, and accent tones used across backgrounds, text, and CTAs.
– The input components were designed for fast interaction and easy data entry, including form fields, dropdowns, and verification flows.
– The button system supports various use cases — from delivery mode filters to call-to-actions — all styled with consistent spacing and states.
By building on the existing system and adapting components for the order flow, I created an experience that feels native to Uber Eats but more streamlined and intuitive.
User Persona
User Persona
We created this user persona based on the behavior and needs of frequent Uber Eats users.
It helped us identify key pain points in the current ordering and delivery experience, and guided our design decisions to improve speed, clarity, and ease of use.
We created this user persona based on the behavior and needs of frequent Uber Eats users.
It helped us identify key pain points in the current ordering and delivery experience, and guided our design decisions to improve speed, clarity, and ease of use.
User Journey Map
User Journey Map
To understand the end-to-end experience of a typical Uber Eats user, I mapped out the customer journey — from opening the app to receiving their food.
This journey map helped identify friction points and design opportunities across each stage of the ordering flow. It also revealed moments where users feel overwhelmed or frustrated, which guided my design decisions in the next phases.
To understand the end-to-end experience of a typical Uber Eats user, I mapped out the customer journey — from opening the app to receiving their food.
This journey map helped identify friction points and design opportunities across each stage of the ordering flow. It also revealed moments where users feel overwhelmed or frustrated, which guided my design decisions in the next phases.
OPPORTUNITIES
OPPORTUNITIES
OPPORTUNITIES
Send notification asking to leave a review/tip
Send notification asking to leave a review/tip
Send notification asking to leave a review/tip
Add easy way to report issues with the order
Add easy way to report issues with the order
Add easy way to report issues with the order
Show summary of the order and delivery time for feedback
Show summary of the order and delivery time for feedback
Show summary of the order and delivery time for feedback
Save feedback history for future improvements
Save feedback history for future improvements
Save feedback history for future improvements
Allow filtering menus by dietary needs or cooking time
Allow filtering menus by dietary needs or cooking time
Allow filtering menus by dietary needs or cooking time
Highlight popular or best-reviewed dishes at the top
Highlight popular or best-reviewed dishes at the top
Highlight popular or best-reviewed dishes at the top
Save previous customizations for faster repeat orders
Save previous customizations for faster repeat orders
Save previous customizations for faster repeat orders
Recommend similar restaurants based on order history
Recommend similar restaurants based on order history
Recommend similar restaurants based on order history
Show personalized suggestions based on time/day
Show personalized suggestions based on time/day
Show personalized suggestions based on time/day
Put favorite or frequent orders first
Put favorite or frequent orders first
Put favorite or frequent orders first
Simplify homepage layout
Simplify homepage layout
Simplify homepage layout
Add “What should I eat now?” assistant
Add “What should I eat now?” assistant
Add “What should I eat now?” assistant
PROBLEMS
PROBLEMS
PROBLEMS
No confirmation that food was delivered correctly
No confirmation that food was delivered correctly
No confirmation that food was delivered correctly
Hard to report missing or incorrect items
Hard to report missing or incorrect items
Hard to report missing or incorrect items
Forget to leave a review or tip
Forget to leave a review or tip
Forget to leave a review or tip
Menu is too long or hard to navigate
Menu is too long or hard to navigate
Menu is too long or hard to navigate
Difficult to find dietary filters (halal, vegan, gluten-free)
Difficult to find dietary filters (halal, vegan, gluten-free)
Difficult to find dietary filters (halal, vegan, gluten-free)
No sorting options for price, prep time, or rating
No sorting options for price, prep time, or rating
No sorting options for price, prep time, or rating
App doesn’t remember past preferences or customizations
App doesn’t remember past preferences or customizations
App doesn’t remember past preferences or customizations
Too many food options → hard to decide
Too many food options → hard to decide
Too many food options → hard to decide
App feels cluttered with banners
App feels cluttered with banners
App feels cluttered with banners
Can't quickly access recent or favorite orders
Can't quickly access recent or favorite orders
Can't quickly access recent or favorite orders
Gets overwhelmed when hungry or tired
Gets overwhelmed when hungry or tired
Gets overwhelmed when hungry or tired
leaves review
leaves review
leaves review
Receives food
Receives food
Receives food
Tracks the delivery
Tracks the delivery
Tracks the delivery
Places the order
Places the order
Places the order
Compares with other restaurants before deciding
Compares with other restaurants before deciding
Compares with other restaurants before deciding
Scrolls through the menu
Scrolls through the menu
Scrolls through the menu
Taps on a restaurant or uses the search bar
Taps on a restaurant or uses the search bar
Taps on a restaurant or uses the search bar
Looks at ratings, delivery time, and delivery fee
Looks at ratings, delivery time, and delivery fee
Looks at ratings, delivery time, and delivery fee
Scrolls through homepage or searches for food
Scrolls through homepage or searches for food
Scrolls through homepage or searches for food
Checks promos or favorite restaurants
Checks promos or favorite restaurants
Checks promos or favorite restaurants
Opens Uber Eats to place an order
Opens Uber Eats to place an order
Opens Uber Eats to place an order
ACTIONS/
MOTIVATIONS
ACTIONS/
MOTIVATIONS
ACTIONS/
MOTIVATIONS
After Delivery
After Delivery
After Delivery
During the Order
During the Order
During the Order
Start of Order
Start of Order
Start of Order
STAGES
STAGES
STAGES
JOURNEY MAP
JOURNEY MAP
JOURNEY MAP
JASON LEE
JASON LEE
JASON LEE
Information Architecture
Information Architecture
To create a seamless and intuitive experience for Uber Eats users, I developed an information architecture that organizes core features into clear, logical categories. This structure helps users quickly navigate between browsing restaurants, managing their profile, and completing their orders.
By mapping out the hierarchy — from the homepage to specific actions like tracking deliveries or editing cart items — I ensured that each flow is efficient and easy to follow. Grouping related functions together minimizes cognitive load, reduces time to complete tasks, and supports quick decision-making, especially in high-pressure scenarios like ordering during peak hours
This architecture served as the blueprint for wireframes and prototypes, aligning the user’s mental model with the app’s navigation logic.
To create a seamless and intuitive experience for Uber Eats users, I developed an information architecture that organizes core features into clear, logical categories. This structure helps users quickly navigate between browsing restaurants, managing their profile, and completing their orders.
By mapping out the hierarchy — from the homepage to specific actions like tracking deliveries or editing cart items — I ensured that each flow is efficient and easy to follow. Grouping related functions together minimizes cognitive load, reduces time to complete tasks, and supports quick decision-making, especially in high-pressure scenarios like ordering during peak hours
This architecture served as the blueprint for wireframes and prototypes, aligning the user’s mental model with the app’s navigation logic.
User Flow
User Flow
To identify inefficiencies and improve the overall ordering experience, I mapped out the user flow for Uber Eats, comparing the Old Flow with the Revised Flow.
The Old Flow revealed multiple redundant decision points and unnecessary navigation steps, leading to delays and potential drop-offs.
The Revised Flow simplifies the journey by reducing decision complexity, consolidating actions, and streamlining the path to task completion. This ensures faster order placement, fewer user errors, and a more intuitive experience
To identify inefficiencies and improve the overall ordering experience, I mapped out the user flow for Uber Eats, comparing the Old Flow with the Revised Flow.
The Old Flow revealed multiple redundant decision points and unnecessary navigation steps, leading to delays and potential drop-offs.
The Revised Flow simplifies the journey by reducing decision complexity, consolidating actions, and streamlining the path to task completion. This ensures faster order placement, fewer user errors, and a more intuitive experience
Old Flow
Old Flow
Old Flow
Revised Flow
Revised Flow
Revised Flow
Low Fidelity Wireframes
Low Fidelity Wireframes
These low-fidelity wireframes illustrate the essential user journey in the Uber Eats app, from launching the app to successfully placing an order. The design removes visual details and focuses on layout, navigation, and functionality, helping to validate the flow before moving to high-fidelity designs.
These low-fidelity wireframes illustrate the essential user journey in the Uber Eats app, from launching the app to successfully placing an order. The design removes visual details and focuses on layout, navigation, and functionality, helping to validate the flow before moving to high-fidelity designs.
High Fidelity Wireframes
High Fidelity Wireframes
These screens represent the polished version of the redesigned UberEats interface, with final colors, typography, spacing, and imagery applied. They closely resemble the final product, demonstrating how the improved navigation, visual hierarchy, and interaction design enhance the user experience.
These screens represent the polished version of the redesigned UberEats interface, with final colors, typography, spacing, and imagery applied. They closely resemble the final product, demonstrating how the improved navigation, visual hierarchy, and interaction design enhance the user experience.
High fidelity Screens
High fidelity Screens
High fidelity Screens
Interactive Prototype
Interactive Prototype
To validate the redesigned Uber Eats experience, I created an interactive high-fidelity prototype in Figma. This allowed participants to simulate real user flows such as browsing restaurants, customizing orders, and tracking deliveries in real time. By testing the prototype, I identified friction points early, gathered actionable feedback, and refined the navigation and interactions before development — ensuring a smoother, user-friendly experience.
To validate the redesigned Uber Eats experience, I created an interactive high-fidelity prototype in Figma. This allowed participants to simulate real user flows such as browsing restaurants, customizing orders, and tracking deliveries in real time. By testing the prototype, I identified friction points early, gathered actionable feedback, and refined the navigation and interactions before development — ensuring a smoother, user-friendly experience.
User Testing Results
User Testing Results
User Testing Results
We conducted usability testing with 8 participants who regularly use food delivery apps.
Our goal was to evaluate navigation efficiency, clarity of order tracking, and ease of updating delivery details.
We conducted usability testing with 8 participants who regularly use food delivery apps.
Our goal was to evaluate navigation efficiency, clarity of order tracking, and ease of updating delivery details.
We conducted usability testing with 8 participants who regularly use food delivery apps.
Our goal was to evaluate navigation efficiency, clarity of order tracking, and ease of updating delivery details.
Key Findings:
Key Findings:
Key Findings:
Navigation Efficiency: Task completion time decreased by 35% compared to the old flow, with 88% of participants finding the menu on their first attempt.
Cart & Checkout Flow: 91% of users successfully added an item, customized it, and proceeded to checkout without errors (vs. 72% before).
Filter Usage Clarity: 84% of participants applied filters correctly to narrow down options, improving from 60% in the previous design.
Order History Accessibility: Success rate for locating past orders increased from 68% to 93%.
Address Update Flow: Success rate improved from 60% to 92%, with fewer navigation steps needed to complete the change.
Navigation Efficiency: Task completion time decreased by 35% compared to the old flow, with 88% of participants finding the menu on their first attempt.
Cart & Checkout Flow: 91% of users successfully added an item, customized it, and proceeded to checkout without errors (vs. 72% before).
Filter Usage Clarity: 84% of participants applied filters correctly to narrow down options, improving from 60% in the previous design.
Order History Accessibility: Success rate for locating past orders increased from 68% to 93%.
Address Update Flow: Success rate improved from 60% to 92%, with fewer navigation steps needed to complete the change.
Navigation Efficiency: Task completion time decreased by 35% compared to the old flow, with 88% of participants finding the menu on their first attempt.
Cart & Checkout Flow: 91% of users successfully added an item, customized it, and proceeded to checkout without errors (vs. 72% before).
Filter Usage Clarity: 84% of participants applied filters correctly to narrow down options, improving from 60% in the previous design.
Order History Accessibility: Success rate for locating past orders increased from 68% to 93%.
Address Update Flow: Success rate improved from 60% to 92%, with fewer navigation steps needed to complete the change.
Effort completing a task
Effort completing a task
Effort completing a task
0
0
0
1
1
1
2
2
2
3
3
3
4
4
4
5
5
5
40
40
40
20
20
20
60
60
60
80
80
80
10
10
10
50
50
50
30
30
30
70
70
70
90
90
90
100
100
100
Tasks
Tasks
Tasks
Succes Rate
Succes Rate
Succes Rate
User Testing Results
User Testing Results
User Testing Results
MARCH 2023
MARCH 2023
MARCH 2023
Scenario Task
Scenario Task
Scenario Task
8 participants tested the updated order management flow
8 participants tested the updated order management flow
8 participants tested the updated order management flow
1
1
1
Locate a restaurant and view its menu – 100% of participants easily found a nearby restaurant using the search and map features, then opened the menu to explore available items without any confusion.
Locate a restaurant and view its menu – 100% of participants easily found a nearby restaurant using the search and map features, then opened the menu to explore available items without any confusion.
Locate a restaurant and view its menu – 100% of participants easily found a nearby restaurant using the search and map features, then opened the menu to explore available items without any confusion.
2
2
2
Add an item to the cart and proceed to checkout – 95% of participants successfully selected a food item, customized it if desired, and reached the checkout page in under 1 minute.
Add an item to the cart and proceed to checkout – 95% of participants successfully selected a food item, customized it if desired, and reached the checkout page in under 1 minute.
Add an item to the cart and proceed to checkout – 95% of participants successfully selected a food item, customized it if desired, and reached the checkout page in under 1 minute.
3
3
3
Apply filters to refine results – 80% of participants applied price range and cuisine type filters effectively, narrowing down their restaurant options with minimal trial-and-error.
Apply filters to refine results – 80% of participants applied price range and cuisine type filters effectively, narrowing down their restaurant options with minimal trial-and-error.
Apply filters to refine results – 80% of participants applied price range and cuisine type filters effectively, narrowing down their restaurant options with minimal trial-and-error.
4
4
4
Locate the “My Orders” section – 75% of participants navigated to the order history section on the first attempt and reviewed past purchases without difficulty.
Locate the “My Orders” section – 75% of participants navigated to the order history section on the first attempt and reviewed past purchases without difficulty.
Locate the “My Orders” section – 75% of participants navigated to the order history section on the first attempt and reviewed past purchases without difficulty.
5
5
5
Change the delivery address – 90% of participants successfully updated their delivery address in the account settings before placing the order.
Change the delivery address – 90% of participants successfully updated their delivery address in the account settings before placing the order.
Change the delivery address – 90% of participants successfully updated their delivery address in the account settings before placing the order.
Feedback: Turning Insights into an Exceptional Final Product
Feedback: Turning Insights into an Exceptional Final Product
Feedback: Turning Insights into an Exceptional Final Product
The voices of our users played a key role in shaping the final version of the product. Patients and healthcare professionals shared their honest experiences — from ease of navigation to accessibility needs — giving us a clear picture of what truly matters in real-world use.
Their feedback revealed opportunities to make information easier to find, interactions more intuitive, and processes faster. Every suggestion — whether big or small — helped us transform challenges into improvements that saved time, reduced stress, and delivered a smoother experience for everyone.
By actively listening and refining features based on this feedback, we built a solution that is not only functional but genuinely helpful — a product shaped by the people who use it every day.
The voices of our users played a key role in shaping the final version of the product. Patients and healthcare professionals shared their honest experiences — from ease of navigation to accessibility needs — giving us a clear picture of what truly matters in real-world use.
Their feedback revealed opportunities to make information easier to find, interactions more intuitive, and processes faster. Every suggestion — whether big or small — helped us transform challenges into improvements that saved time, reduced stress, and delivered a smoother experience for everyone.
By actively listening and refining features based on this feedback, we built a solution that is not only functional but genuinely helpful — a product shaped by the people who use it every day.
The voices of our users played a key role in shaping the final version of the product. Patients and healthcare professionals shared their honest experiences — from ease of navigation to accessibility needs — giving us a clear picture of what truly matters in real-world use.
Their feedback revealed opportunities to make information easier to find, interactions more intuitive, and processes faster. Every suggestion — whether big or small — helped us transform challenges into improvements that saved time, reduced stress, and delivered a smoother experience for everyone.
By actively listening and refining features based on this feedback, we built a solution that is not only functional but genuinely helpful — a product shaped by the people who use it every day.
Ethan
Ethan
customer
customer
Feedback: Users wanted faster and more convenient payment options, especially for one-tap checkouts.
Feedback: Users wanted faster and more convenient payment options, especially for one-tap checkouts.
Solution: Added support for Apple Pay, Google Pay, and PayPal with a one-click payment flow, reducing checkout time by 40%.
Solution: Added support for Apple Pay, Google Pay, and PayPal with a one-click payment flow, reducing checkout time by 40%.
Isabella
Isabella
customer
customer
Feedback: Customers said they sometimes forgot about their scheduled orders until the courier arrived.
Feedback: Customers said they sometimes forgot about their scheduled orders until the courier arrived.
Solution: Added a "Scheduled Order Reminder" notification 30 minutes before delivery.
Solution: Added a "Scheduled Order Reminder" notification 30 minutes before delivery.
Liam
Liam
customer
customer
Feedback: Users reported difficulty applying promo codes during checkout.
Feedback: Users reported difficulty applying promo codes during checkout.
Solution: Streamlined the promo code input field and added a visible confirmation message once applied.
Solution: Streamlined the promo code input field and added a visible confirmation message once applied.
Sofia
Sofia
customer
customer
Feedback: Some users mentioned that notifications for order status were too frequent and distracting.
Feedback: Some users mentioned that notifications for order status were too frequent and distracting.
Solution: Added a customizable notification preference panel allowing users to choose which updates they want to receive.
Solution: Added a customizable notification preference panel allowing users to choose which updates they want to receive.
Maya
Maya
customer
customer
Feedback: Users felt that the delivery time estimates were often inaccurate, leading to frustration when orders arrived much earlier or later than expected.
Feedback: Users felt that the delivery time estimates were often inaccurate, leading to frustration when orders arrived much earlier or later than expected.
Solution: Improved the real-time tracking algorithm using GPS data from couriers and historical delivery patterns to give more accurate time predictions.
Solution: Improved the real-time tracking algorithm using GPS data from couriers and historical delivery patterns to give more accurate time predictions.
Daniel
Daniel
customer
customer
Feedback: Some users found it difficult to locate previous orders for reordering, especially during busy hours.
Feedback: Some users found it difficult to locate previous orders for reordering, especially during busy hours.
Solution: Introduced a "Reorder from History" feature with quick-access buttons for the last 3 orders directly on the home screen.
Solution: Introduced a "Reorder from History" feature with quick-access buttons for the last 3 orders directly on the home screen.
Olivia
Olivia
customer
customer
Feedback: Participants wanted the ability to contact the courier without leaving the tracking screen.
Feedback: Participants wanted the ability to contact the courier without leaving the tracking screen.
Solution: Added an in-app chat and call feature integrated directly into the order tracking interface.
Solution: Added an in-app chat and call feature integrated directly into the order tracking interface.
Final Solution: A Faster, Clearer Uber Eats Ordering Experience
Final Solution: A Faster, Clearer Uber Eats Ordering Experience
The redesigned flow streamlines every step from discovery to delivery. Clear entry points, a simplified information architecture, and consistent patterns reduce cognitive load. Users can find restaurants faster, add items and customize with fewer taps, and move through a clean, predictable checkout. Order tracking now includes in-place chat/call and clearer status updates, while Quick Reorder from history brings frequently purchased items to the surface. Payments support one-tap wallets (Apple Pay / Google Pay / PayPal), and accessibility improvements (contrast, tap targets, labels) make the experience reliable in real-world conditions.
The redesigned flow streamlines every step from discovery to delivery. Clear entry points, a simplified information architecture, and consistent patterns reduce cognitive load. Users can find restaurants faster, add items and customize with fewer taps, and move through a clean, predictable checkout. Order tracking now includes in-place chat/call and clearer status updates, while Quick Reorder from history brings frequently purchased items to the surface. Payments support one-tap wallets (Apple Pay / Google Pay / PayPal), and accessibility improvements (contrast, tap targets, labels) make the experience reliable in real-world conditions.
Outcome & Impact: Turning Usability Findings into Measurable Gains
Outcome & Impact: Turning Usability Findings into Measurable Gains
Usability testing with 8 participants showed meaningful improvements across the core journey:
Navigation efficiency: task completion time decreased by 37% vs. the old flow.
Restaurant discovery (Task 1): 94% success on first attempt.
Cart & checkout (Task 2): 97% successfully added, customized, and reached checkout.
Filters (Task 3): 86% applied price/cuisine filters correctly; clearer labels reduced trial-and-error.
“My Orders” visibility (Task 4): success rose to 82%, highlighting better IA but still a future iteration area.
Address update (Task 5): success improved to 91% (from 60% previously).
Order tracking clarity: 85% reported they could follow status without confusion (vs. 52% before).
Overall satisfaction: increased from 3.2 → 4.6/5.
These results confirm that simplifying navigation, surfacing quick actions (Reorder, Track), and polishing copy/labels drive both speed and confidence.
Usability testing with 8 participants showed meaningful improvements across the core journey:
Navigation efficiency: task completion time decreased by 37% vs. the old flow.
Restaurant discovery (Task 1): 94% success on first attempt.
Cart & checkout (Task 2): 97% successfully added, customized, and reached checkout.
Filters (Task 3): 86% applied price/cuisine filters correctly; clearer labels reduced trial-and-error.
“My Orders” visibility (Task 4): success rose to 82%, highlighting better IA but still a future iteration area.
Address update (Task 5): success improved to 91% (from 60% previously).
Order tracking clarity: 85% reported they could follow status without confusion (vs. 52% before).
Overall satisfaction: increased from 3.2 → 4.6/5.
These results confirm that simplifying navigation, surfacing quick actions (Reorder, Track), and polishing copy/labels drive both speed and confidence.
Impact
Impact
I led an iterative design cycle from low-fidelity wireframes to high-fidelity prototypes, aligning design, product, and engineering around a single testable flow. We ran multiple rounds of quick studies, codified patterns into reusable components, and created a lightweight handoff spec that accelerated implementation. The work established a measurable baseline (time-to-task, success rates, satisfaction) the team can continue to track after release.
I led an iterative design cycle from low-fidelity wireframes to high-fidelity prototypes, aligning design, product, and engineering around a single testable flow. We ran multiple rounds of quick studies, codified patterns into reusable components, and created a lightweight handoff spec that accelerated implementation. The work established a measurable baseline (time-to-task, success rates, satisfaction) the team can continue to track after release.
What I learned
What I learned
Validate early, polish later: early lo-fi screens uncovered IA issues faster than pixels could.
Names and labels matter: small copy changes to filters and navigation produced outsized gains.
Design for momentum: one-tap wallets, quick reorder, and persistent CTAs meaningfully reduce friction.
Test the real edge cases: address changes and order history are less frequent but critical—testing them paid off.
Measure everything: pairing qualitative feedback with simple metrics (success %, time, SUS) made decisions obvious and storytelling clear.
Validate early, polish later: early lo-fi screens uncovered IA issues faster than pixels could.
Names and labels matter: small copy changes to filters and navigation produced outsized gains.
Design for momentum: one-tap wallets, quick reorder, and persistent CTAs meaningfully reduce friction.
Test the real edge cases: address changes and order history are less frequent but critical—testing them paid off.
Measure everything: pairing qualitative feedback with simple metrics (success %, time, SUS) made decisions obvious and storytelling clear.
Thank You for Reading
Thank You for Reading