Hoppin is a design exploration that started out from my curiosity: what would be the equivalent experience of the Uber pool when it comes to ordering delivery food.
Do you remember those late nights when you’re just craving for a specific food? For me, it was the McDonald’s hamburger. One night, I was craving a burger from Mcdonalds, but the delivery fee was way too high. Looking at the brightly lit apartments across my room, I was wondering if any other people were hungry like me.
I’m proposing the product idea: “Hoppin.” It’s an application where people can create a cart where they could split the cost of delivery service. The only sacrifice is just walking a little to pick up the food at the nearby location.
Prototyping & Testing
Visual & Motion Design
5 Days, March 2019
Thanks to all the different food delivery services like Uber Eats and Door dash, I can now order food from almost any restaurants whenever I want. However, this convenience comes with a cost. Like, literally.
Whenever I see the final cost of my order, including service fees, delivery fees, and tips, I can’t help to think to myself that I could’ve gotten a really nice meal off of a grocery shopping with this type of money.
One day, looking at the spiked up delivery fee got me wishing if there was someone who lived in my apartment that was hungry enough to split up the delivery fee with me.
How Might We Create An Opportunity for Courier Sharing Experience?
Users could either create or join carts to split the bill with the nearby neighbors. Just how you would share a Uber pool with others.
If user does not have a specific choice that they want to eat, they can wait until someone creates a cart so they could join without risking to pay the full service fee by him/her self.
The high population density would allow a higher success rate of matching people into a cart. Also, after looking at the delivery statics of the age group who uses the delivery service proves that this service have to be focused on the high.
There are three ways to order from Hoppin.
You’re hungry but not sure what to eat and also wants to save some bucks on delivery fee? Join others from the landing screen of Hoppin
Users can ring a bell on multiple restaurants they are interested. They can set how long they would wait until other users with higher interest would confirm and purchase the order
Just like how you would order a meal from any other delivery apps
People who choose this method would have a strong preference on what restaurant they want to order from. It is totally optional for these users to not notify other neighbors to split the bill
There are two different user types in HOPPIN which are differentiated by their level of interest on restaurants
You know that time when you’re craving a specific cuisine? Those people are Announcers. They are only interested in one or two restaurants. Because they know what they want, they’re also wiling to pay for the delivery fee.
Bell-ringers are users whose priority is the discounted delivery fee. They do not have any preferences on restaurants and willing to try new thing if they receive the discount on the delivery fee.
Discount Count-Down Clock from the Landing page resets every 5 minutes to refresh new list of restaurant orders that has at least a one user who already have purchased the order.
This is a convenient way to select a restaurant for users in a hurry because any restaurants that users pick from this page is a guaranteed discounts of a delivery fee.
The Clock starts at every five minutes.
Ex. 06:00PM, 06:05PM, 06:10PM,... etc
User A does not know what to order for his late night snack. He sets notificaitons to 5 restaurants and waits until someone starts the order.
User A was not able to find he liked from the announcement page, so she just orders from her favorite restaurant. She purchases the order and notifies neighbors to join her.
User X and User Y both have selected a notification to a same restaurant, which doesn’t have any Announcers.
Reflecting the current landscape of delivery business.
Currently, most of the delivery services are providing many different discount/loyalty options in order to win the tug of war. It would be interesting to investigate how much merit does making the users to walk little more for them to earn the discount.
Other possibilities within food delivery.
Instead of only allowing users to share a courier from a one restaurant, providing different other restaurant options within the given logistics of every order would allow more freedoms for users to choose from and up-sell other restaurants.
Conduct more user interviews to solidify this concept of courier sharing.
This design exercise was done solely due to my curiosity and problems. With more user interviews and seeing into how others use delivery app will help solidifying this concept.