Furever Homes

An online website that helps prospective pet owners easily and accurately find the best pet for their lifestyle.

My Role

End-to-end designer from research to visual design to testing and iterations

Project Timeline

12 weeks

~90 hours

Tools

Figma, Figjam, Adobe Illustrator, Adobe Photoshop, Google Docs, Google Sheets

Platform

Desktop Website / Personal Academic Project

INTRODUCTION

A popular hobby a lot of my friends had during the pandemic was adopting a pet.

Being a lover of animals, I also enjoy causally browsing pet adoption websites! I found that the number of pets returned to shelters during the pandemic doubled.

This statistic made me curious, and I wanted to research why this was happening.

Discovery 🐾

RESEARCH

I learned that the top 2 reasons why people decide to return pets are due to:

1. the pet's behavior
2. and an incompatibility with the pet

This market research helped me to define the problem for my case study.

DEFINING THE PROBLEM

It’s difficult for prospective pet owners to find pets with behaviors compatible with their lifestyle.

How might we:

• Easily and accurately find the best pet for the user's lifestyle
• How can we help users know what expectations to have when adopting
• And how can we help users quickly adopt a pet quickly once they are ready

User Research 🔎

USER INTERVIEWS

I decided to interview people who have either adopted a pet in the past or people who have been interested in adopting.

I wanted to understand their experience going through the pet adoption process, and I wanted to know if there were any commonalities among the different users.

After collecting data from the interview, I used an affinity map (below) to group any common patterns I found.

USER PERSONAS

From my affinity map, I was able to define two main types of users:

User 1: Shaun

User 2: Aria

His goal: Find what he's looking for quickly
User wants: Ability to browse through a list of available dogs

Her goal: Identify the best pet for her
User wants: Ability to be matched with a pet

Competitive Research 😺

DIRECT COMPETITORS

Next, I looked into some direct competitors (other pet adoption websites). These websites help people who are trying to find a pet.

However, these websites were all very similar and could have done a better job of helping solve the problem: They don't serve the persona of someone who doesn't know what kind of pet they're looking for (Persona Aria).

INDIRECT COMPETITORS

That's when I decided to think outside the box and explore indirect competitors.

What do these websites have in common with pet adoption websites?
I recognized that while these websites did not help users find a pet, they did help users find something (whether a home, a car, or a partner). They help users find something by matching a set of requirements.

What indirect competitors did well at was help people who did not know what they were looking for (Persona Aria).

The Big Idea 💡

PET MATCH FEATURE

What is a Pet Match Feature?

A form that asks users questions to help them match with available pets.

The feature would help solve the problem of users returning pets.

USER TASK FLOW

Based on my User Personas, I focused on 2 flows a user may take:

1. Browse through all available Dogs

2. Find a compatible pet match (Pet Match Feature)

Both users, like Aria and Shaun, ultimately come to the same end goal:
scheduling to meet with a pet they are interested in.

Design 🎨

SKETCHES & WIREFRAMES

After determining the two necessary flows, I was ready to sketch some wireframes.

Testing 🧪

USER TESTING

Next, I gathered participants and defined my objectives when testing:

1. Test if users can easily navigate the Furever Homes website
2. Understand how users interact with the Pet Match Feature

WHAT TO TEST

Iterating 🤔

ACTION PRIORITY MATRIX

After testing, I got a lot of feedback from my participants and wanted to determine how to prioritize that information.

I used an action priority matrix to place each of the feedback items on.

ITERATION 1:
REDESIGNING THE SLIDER

Problems:

• Users did not know how far to drag the points
• The weight of dog is not spaced appropriately between each other

Solutions:

• I added notches on the line help users know where they can drag points
• The weight for dogs is equally spaced apart on the slider

ITERATION 2:
CREATING A MATCH
RATING PAGE

Problem:

When testing, participants were more focused on the percentage than seeing the pet they were matched with.

Solution:

Users are can focus on the pets they were matched with. It is also clear which pets they matched with the most.

ITERATION 3:
REFINING COMPONENTS

Problems:

Filter: Users did not understand the difference between "square" and "circle" boxes
Form: Users did not know they could select more than one answer

Solutions:

Filter: Designed the squares look more like multi-select buttons and the circles look more like radio buttons
Form: Added multi-select buttons onto the form questions

Delivery 🐶

THE SOLUTION

A website that matches users with their best pet match.

TESTING RESULTS

After testing my users, I compiled another affinity map of the results.

USER FEEDBACK

NEXT STEPS

Test KPIs for:

• Pet adoption rate through the website
• User engagement with the Pet match feature
• Success rate of long-term pet adoptions vs. returns