I designed a website called PetConnecter that enables potential adopters to connect with their "soul pet". It is a responsive solution, the mobile counterpart of which is designed for assisting users to discover animals that match their preferences in nearby shelters. The desktop counterpart provides a conducive experience to gauge the personality of selected animals and build a bond with them virtually before starting the adoption process.Ā
6.3 million companion animals enter shelters nationwide every year that need a forever home. A lot of them donāt get adopted because potential adopters are not able to connect with these animals. Adopters need to get to know the personality of the animal before starting the adoption process and gauge if they are the right fit for them. This has become more difficult to do without visiting the shelter in person since the onset of the pandemic.
I was in charge of the user experience and product vision for this project. I took lead in deciding what features add the most value for the user. I designed the user flow, wireframed the screens, and divided sections for teammates to own for the hi-fi design. I also led the final prototyping for the hi-fi screens.
I brought in ideas regarding how AIĀ and computer vision technology can be employed in our solution to build a meaningful connection between the user and the shelter animals. I also made sure that our solution was technically feasible, and optimized the work required on the dev side to actually build out this platform.
I also took up the responsibility of scheduling internal team meetings and organized in-person white-boarding sessions. I took charge of scoping the project according to available bandwidth and impending deadlines. I made sure my teammates' needs were met and maintained an amicable work environment.
College students & young professionals looking to adopt a pet.
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Conducted directed storytelling with 5 participants followed by a semi-structured interview. Took notes on observations.
I conducted 2 and observed 4 think-aloud testing sessions with potential users. The goal of the testing session was to understand:
Based on the feedback from lo-fi paper prototype testing, I decided to narrow down the design focus to the following main features:
When Simar searches for shelter cats online on her phone, Google directs her to PetConnecter.com - at first glance, she is delighted to see warm colors and the words āfind your soul petā which she finds reassuring. She scrolls a bit and is excited to see live streams of cats from different shelters and many cute potential pet options nearby. She is intrigued by what the website has in store for her and clicks on the āGet Startedā button.
Simar is then directed to a short survey where she chooses the ideal characteristics for her soul pet - like the type, size, and preferred personality traits. She also shares her level of experience with pet adoption.
Simar is redirected to a card view showing pets where she can scroll through photos of each animal, and swipe through these pet matches selected for her based on her answers in the survey and her location. A 1-year-old āaffectionateā cat Samantha catches her eye. She presses the love icon and Samantha is added to her āfavoritesā list. The interface reminds her of a dating app and she giggles as she goes through the profiles of her adorable potential cat dates.
She decides to click on Samanthaās profile to know more about her.Ā On her profile, Simar is able to see all the relevant details about Samantha organized in a logical manner. She is attracted by Samanthaās trusting and affectionate traits. She also likes that Samantha is impulsive like her. Her health records seem in good shape and she loves that the adoption cost is listed upfront. Simar appreciates the transparency of information on PetConnecter, which shows the website is trustworthy.
Simar notices that Samantha is at Shelter Coco, so she opens the shelter page and finds a cat live stream at the top. The livestream provides annotations to help identify the individual cats in the video using a Computer Vision AI model. She clicks on it and is delighted to find Samantha and other cats at the shelter frolicking around.Ā
When she gets time, Simar opens PetConnecter on her laptop. Here, she can easily put filters and view pet options in an easily scannable grid view.
The livestream provides a space for potential adopters to engage in a conversation with each other and the shelter through the chat section.
Simar explores the profile of one of the cats from her favorites list called Samantha, identified by a blue tag in the video. She observes her interactions with the other cats and her surroundings. She clicks on Samantha to view her detailed information.
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As Simar gradually narrowed down some of her favorite matches, she now finally feels confident in physically visiting a nearby shelter and starting the adoption process for Samantha.
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The current design tackles the user journey to the point of connecting the adopter with the ideal animal. Future work would entail: