This case study is an experimental redesign of the Uber Eats mobile app interface based on reviews collected from Google Play reviews, websites, and other users applying the reasonings from HCI and human psychology.
The key idea of this case study is to identify the User pain points and propose a potential solution to increase user delight and engagement by identifying the redesign of the Uber Eats app. These needs were identified and collected from various sources like Think with Google, reviews in Google Playstore, Uber Eats Blog, Quora, Statista, and other online articles. The ideas discussed below are illustrated in the video (above).
Uber Eats is an online food ordering, delivery, and pickup service, launched in 2014, primarily acting as a liaison between restaurants and customers. The key features include reading menus, reviews, and ratings, ordering, and paying through third-party payment gateways. Meals are delivered to users using scooters, bikes, cars, etc. Other prominent recent feature additions include ordering groceries, alcohol, and dine-in bookings in selected cities.
According to Google Play, the top three food delivery apps in the U.S. are DoorDash (4.6 stars, 2.9M reviews, 10M+ downloads), Grubhub (4.5 stars, 0.69M reviews, 10M+ downloads), and Uber Eats (4.4 stars, 0.47M reviews, 100M+ downloads)
Data Insight: DoorDash has a market share of 56%, Grubhub of 16%, and UberEats of 23% of the total national sales as of May 2022, a Bloomberg study showed.
According to Statista, there is a total of 54M users of food-ordering apps in the U.S.
In a comparison study conducted personally by ordering the same food from the same restaurant on all the above three platforms on the same day and same time (11:30 am on a Thursday), the following are the key areas of comparison and are listed out :
DoorDash:
Total Cost: $23.89
Menu: $15.85
Tax: $1.05
Delivery: $2.99
Service: $4.00 (includes $1.00 Regulatory Response Fee)
Delivery Speed: 35 minutes (0.4 miles away)
Uber Eats:
Total Cost: $21.82
Menu: $14.65
Tax: $1.36
Delivery: $2.99
Service: $2.82
Delivery Speed: 25 minutes (0.4 miles away)
Grubhub:
Total Cost: $22.08
Menu: $16.70
Tax: $1.38
Delivery: $1.49
Service: $2.51
Delivery Speed: 35 minutes (0.4 miles away)
The delivery and service charges on these platforms are dynamic, depending on the time of day (lunch or dinner time), distance, and even the restaurants and tie-ups.
A good product is a relative truth as it varies from person to person and is contingent primarily on the User. Nevertheless, we can judge a product by its quality that has the following four facets: functionality, reliability, ease of use, and user delight. Human behavior plays a key role in determining a product's fate. Motivating humans to use a product (or a new product) is quite challenging as each human responds differently to the same stimuli, and so is decision-making. Thus, a good product is the only which both keeps the User motivated to use the product and also engaged.
The ideal food delivery app is the one that offers a wide range of cuisine, the best price in the market, quicker delivery times, keeps the User updated at all times about their delivery, addresses customer grievances, and also motivates the User through their loyalty programs. Let us dive into each of the four product design criteria and try to analyze the design of the Uber Eats app in the Redesign section.
The core of a food ordering app is the features and functionalities that allow users to complete the task of ordering food. The types of this category are minimum requirements, majority requirements, and nice-to-have features.
The minimum requirements include the basic functionalities such as searching for the desired restaurant, easy navigation through the menu, secure payment, tracking the delivery, talking to the delivery person, and customer service.
The majority requirements are the features that are most likely in demand by the majority of the users as saving the user details, address, and payment methods for future use, user preferences, and the type of cuisine the user is likely to order most of the time, user reviews and feedback, and a recommender that suggests the user try relevant cuisines.
This brings us to the nice-to-have features such as loyalty points to the users, meal plans, and customizing the food.
This predominantly includes the "trust" factor concerning secure payment, the quality of food delivered, and safe interaction with the delivery person.
Data Insight: In a 2019 study of top complaints related to food delivery, 17% of the consumers said that their food arrived was not fresh.
One of the fundamental design principles is the ease of using a product, i.e., the interface must be invisible by design. Conversion rates are typically higher when the user finds the interface easy-to-use that helps them order food seamlessly. A carefully designed product sustains the user's mental model imparting lesser cognitive load and driving more attention toward the task. The user feels empowered when they think that the product was tailor-made just for them which motivates them to engage with the product.
Delight can have many forms and numbers depending on the product and is measured both qualitatively and quantitatively. Qualitative delight reflects through user behavior like user reviews, loyalty, and referrals. Quantitative delight is the measurement of engagement like orders per day per customer, order value, adoption rate, retention rate, task success rates (like abandoned carts, the time between opening the app and order), NPS scores, and downloads per month.
The redesign of the Uber Eats app is constructed on theories and principles of human psychology and human-computer interaction design. Each page of the app, starting from the landing page to the delivery page, has been analyzed critically, explaining the psychology of the redesign in the video above.
The Inspiration: https://growth.design/
Judgment and Decision Making, Nudge to nobesity II: Menu positions influence food orders
Harvard Business Review
Categorization of Cognitive Biases: https://busterbenson.com/piles/cognitive-biases/
Advances in Experimental Social Psychology: https://doi.org/10.1016/S0065-2601(10)43001-4
Pseudo-set Framing: Harvard Business School https://www.hbs.edu/ris/Publication%20Files/Psuedo%20Set%20Framing_2b3dd94c-fffd-4659-866d-fb8963cf6ce2.pdf
Think with Google: https://www.thinkwithgoogle.com/
HCI Courses – NYU, Georgia Tech
Product Design – NYU, Georgia Tech