Pawsible is a made up dog adoption online database pairing homeless dogs to people based on their lifestyle. The platform aims at improving the adoption process and finding every dog a home.
My role:
UX Designer from research, concept validation and high fidelity designs
In my initial research I found that 3.9 million dogs enter U.S. shelters every year.
Dog owners need a way to successfully find a dog that fits their lifestyle because they want to provide their dog with the best life.
I believe that by successfully matching dog owners lifestyle with dog’s personality we can increase the amount of dogs being adopted and reduce the amount of dogs that are abandoned or given up to shelters.
I compared features against top dog adoption websites to determine strengths and weaknesses of each one. This helped me to understand which key features I needed to include. I also found a few opportunities for improvements:
Care and training resources were text heavy, hard to consume and not easy to search or navigate through.
Matching quizzes didn’t effectively match dogs based on the owners lifestyle, but based on preferences.
Total of 8 people: 5 current dog owners, 2 looking for a dog, and 1 who gave up a dog
I interviewed users about their process of finding a dog, how they trained them and any other difficulties they had. Based on the insights I sorted and organized the data to find common patterns. Then used that information to define my user personas.
The solution goes beyond successfully matching owners with dogs, but to become a resource for after they bring their dog home.
Based on my user flow and feature prioritization matrix I sketched out key screens for the website.
After the initial release I would continue to get feedback on the product and watch its performance. As more feedback comes in, I would polish the product to fix any bugs or usability issues. Then determine which problem I would tackle next by revisiting my feature prioritization matrix, conduct research, and continue to test and iterate.