making off-campus housing search stress-free
Overview: One of the problems that Cornell students face is the task of finding off-campus housing. Students often to consider a variety of aspects, including but not limited to: location, price, and amenities. There are various complaints about the process being stressful, confusing, and not centralized. How can we design a centralized product that lessens the burden, makes the platform more user-friendly, and the process stress-free?
We first collaborated to deliver a deck proposal with medium-fidelity diagrams for an off-campus housing app product. Later, I made revisions to the medium-fidelity diagrams to create a final prototype of the product.
At Cornell, it is a known fact that every fall, in August or September, the task of finding off-campus housing preoccupies a majority of the student body. Whether it be lining up in front of rental offices or chasing down landlords, Cornell students have voiced their complaints and frustrations with regards to finding off-campus housing options.
From talking to users who experienced the hunt for off-campus housing, we found some key insights:
When exploring what subset of the Cornell population is considering off-campus housing, we found 3 general groups:
Thus, we decided to focus on undergraduate students as our main target audience.
What is the market size?
Taking into account that not all sophomores, juniors, and seniors live off campus, we can estimate the market size to be around ~9,500 students.
We found some existing websites included: Cornell Off-Campus Living and College Pads
Based on the prior research and the user interviews we conducted, we decided to categorize the findings via affinity diagrams.
After categorizing these findings, we decided to sketch some possible ideas and designs for the new product. Below are some of the low-fidelity sketches that I drew:
From all of our sketches, we decided to pursue a Tinder-inspired app product to address our problem space.
This app will:
Why Did We Choose This?
After coming up with a solution, our group decided to create a medium-fidelity sketch to get a general visual of how the app will work.
Using these low fidelity sketches, we conducted usability testing and summative tests to gain user feedback. Some of the metrics that we measured include:
Some of the overall takeaways/findings:
In the weeks after the course ended, I decided to make further revisions on our medium-fidelity flow to create a final prototype for our product. Taking the user feedback and general visual design principles, I generated a high-fidelity flow for the product. Below is an overview of the final product:
When users first get started, they can create a new profile that includes pertinent information for housing, including price range, distance to campus, number of rooms, and amenities.
After users input their preferences, the listings will be filtered based on the preferences. Swipe right to save the listing to the favorited list, swipe left to move on to the next listing. Similarly, the user can click on the ✖️ or ❤.
The user can contact landlords and rental companies via the "messages" tab in the right hand corner; this "messages" tab includes all the listings that the user favorited.