Redesign DoorDash :
A More Trust-worthy Friends' Recommendation
Scope: UI + UX
Project Team: Individual Work
My Contribution: All
Problem Statement
Design Solution
Research
Ideation Sktech
UI Kit
Finale Design Features
Prototype Video
Methods
Analysis
Interview Insights
When I wanted to use DoorDash to explore new food delivery options, I felt overwhelmed and tired because:
A dual-purpose system enables users to access trusted reviews from friends and share their favorite restaurants within their social circle.
Designing three features to enhance the user experience by:
Flow 1 : Explore & Create the Friends Recommendation Cards
Scroll to see entire process
Recommendation algorithms provide generic suggestions instead of personalized ones based on order history.
The homepage is cluttered with excessive ads and repetitive categories, making navigation difficult.
Critical details like signature dishes, reviews, and keywords are missing, preventing users from quickly evaluating restaurants.
The Friend Recommendation pops out as first sight on Homepage to catch attentionthe
We conducted five interviews to understand participants' perspectives on using Doordash to search for new food delivery options.
Using group affinity diagramming (Figure A ), we synthesized participants' sentiments and identified recurring themes across the interviews.
Figure A
Users like DoorDash's playful interface and icons
Users want to see people's actual reviews to make decisions, images of food are compelling.
Users do enjoy the process of sharing personal views but want the process to be time-efficient
(3) building a personalized user profile upon registering with DoorDash
(2) encouraging quick and effortless review writing
Users do not want to add too many social elements to a food delivery app
(1) providing access to trusted recommendations from their social circle
Flow 2 : Navigte from Friends’ Recommendation Card to their suggesred place
Flow 2 : Create your Recommendation Card
Flow 3 : ‘Save’ your Friends’ Recommended Places
Flow 3 : ‘Save’ restaurant function
