Doppie

Client: N/A
Design Concept
Year: 2018

Mobile app help pet lovers to find THE ONE LOVE OF THEIR LIFE

DOPPIE is a mobile app design concept to help pet lovers to find their best companion. The app features Machine Learning, Face Recognition as well as Personality Test to help user find the ONE LOVE with impeccable accuracy.

Further more, detailed pet’s behavior history, bite history, medical records are also integrated as part of app in sync with shelter to streamline the adoption process, give assurance and trust through transparent, credible, coherent and detailed information.

DOPPIE

Client: N/A
Design Concept
Year: 2018

Mobile app help pet lovers to find THE ONE LOVE OF THEIR LIFE

DOPPIE is a mobile app design concept to help pet lovers to find their best companion. The app features Machine Learning, Face Recognition as well as Personality Test to help user find the ONE LOVE with impeccable accuracy.

Further more, detailed pet’s behavior history, bite history, medical records are also integrated as part of app in sync with shelter to streamline the adoption process, give assurance and trust through transparent, credible, coherent and detailed information.

CASE STUDY

The double- diamond design

The following case study follows the classic "double diamond" product design method. Diverging and converging in both research phrase and product design phrase. In addition, initial commercialization phrase and road map has been planned out as well at the end of case study.

Picture credit for Double Diamond diagram: https://uxdesign.cc/how-to-fuck-up-the-design-thinking-process-and-make-it-right-dc2cb7a00dca

1.0 Designing the right thing

This chapter covers the following:
• 1.1 Primary research I & II
• 1.2 Secondary research
• 1.3 Research findings
• 1.4 Research insights
• 1.5 Product Opportunities

1.1 primary research I

I designed a brief questionnaire and sent it out to 5 of my friends / colleagues who adopted a pet from shelter. The information is collected via text messages and face to face interviews. These questions were designed to understand the following:

How do you choose “THE ONE”?
What's your biggest concern when adopting
Any challenges when living with a new pet?

1.1 primary research II

As a huge dog lover without a dog or any previous pet owning experience, I start this assignment by numerous internet research together 2 shelter on-site visit in Los Angeles: NKLA and Adopt & Shop. The research and visit were targeted to understand the following:

What is the shelter adoption process look like?
• What is the major challenge during the adoption process?
Owner life style survey
Detailed pet profile
Pet profile history powered by Shelterluv
Dog shelter
Pet meeting room
Professional Consultant
Simple dog profile at each kennel

1.2 secondary research

I started the project with internet research. Browsing through many different adoption websites, try to define a common pattern on the following questions:

• What's the pet finder look like today
• How detail is the pet information online today

Below is a summary on different pet finders and the pet information they provided online.

Pet finder criteria (online today)
Information on each (online today)

1.3 research findings

Online searching: too many resources, too little information about each pet.

" I was so frustrated with all the information on the internet, they all focus on the organization instead of the puppies!"

" Not sure about pet resource, some puppies are so cute but I'm afraid they might come from the mills"

" What if he comes with some hidden disease? "

Find the right one (personality & habit) is a MAJOR mental challenge.

" You have to get to know him, especially if you have another pet, they have to learn from each other, I'm like a parents, they are the kids. "

" His personality all reflects in his habits"

"Adopt an adult dog can be challenging sometime if he comes with strong personalities"

Health is the MAJOR concern when adopting.

"What if he comes with some hidden disease?"

" Born with disability"

Broken link between online and offline

" They don't update their site regularly, some dogs have been adopted already. "

" It's all about the organization, less about the pet"

Current journey map (Identified pain points in orange)

1.4 research insights

4 out of 5 owner choose their pet based on FIRST SIGHT LOVE & AFFECTION.

Fall in love with someone at first sight simply applies when it come to pet adoption.

Adoption process is NOT HARD but the initial online searching is HARD.

Lack of consistent information is a common issue with most of the adoption website. Incomplete record, vague misguiding information, limited pictures and videos are preventing potential pet owners to take their next step (onsite visit).

Numerous research for years prove that dog does look like their owner.

The results suggest that when people pick a pet, they seek one that, at some level, resembles them, and when they get a purebred, they get what they want.

"Big Five" personality traits exist in both pet and human.

In 2015, PawsLikeMe helped over two million people connect with adoptable dogs using the first ever human-to-pet matching algorithm.It has proven 90% accuracy.

Credible shelters carry detailed health record & history for each pet.

Shleterluv has been integrated as part of shelter data management. Easy to use dashboard provides access to all pets information, including detailed medical records, available for print and download.

Lifestyle questionnaires are actually not that useful.

Shelter staff will take your answers into consideration, make suggestions and provide advices. But it is very subjective to the potential owner when it comes to adoption decisions. In general, shelter makes one day adoption service to step up the adoption rate, there's nothing wrong with that due to their limitation of the space, there are only certain amount of pet they can handle. Nevertheless, wrong paring may lead to abandoning, which will cost even more.

1.5 product opportunities

Give assurance and trust through transparent, credible, coherent and detailed information about each pet before the visiting shelters.
Delightful and surprising discovering journey on pet adoption.
Leveraging the power of accurate personality matching to overpass the redundancy of less effective filter.
Create social media sensation to bringing charitable influence on shelter pet and its adoptions.

2.0 Designing things right

This chapter covers the following:
• 2.1 Product ideations
• 2.2 Feature evaluation
• 2.3 MVP features (Material Design 2 UIs)
• 2.4 Use cases (Wireframes)
• 2.5 Product launch and commercialization roadmap

2.1 product ideation

Face matching

Use resemblance as a way of searching. To increase the accuracy of matching will eventually increases the adoption rate. It also provides an engaging and entertaining way of pet searching.

Shelter cam live streaming

Add smart camera to the shelters so user can see them alive on cam. It can be 24/7 or scheduled time slot. Cam streaming is extremely popular, star pets will attract massive audiences, raise the awareness for the shelter to further increase the adoption rate.

Pet health monitoring

Many types of dog collar monitoring wearables are available in market these days. The live and history data provided by these wearables will make the pet's health condition much more credible and accurate. Potential pet can keep monitoring after the adoption.

Personality matching

On top of face matching, the app can adopt the "Big Five" personality traits test for user to match up with potential pets. This will come as a feature only available for registered user as they are more serious on adopt a pet.

Pet details

Bringing detailed pet history in front of user, let user learn pet's story. Based on research, it is not about shelters don't have records of pets, it's about how they show it. Credible shelter has established data base for their pet. But not available till you visit.

Book appointment

This feature is target to eliminate the waiting time at the shelter. It will further streamline the adoption center experience.

2.2 feature evaluation

The common practice for evaluation is voting dot, as I'm doing this project alone the features above are evaluated by impact/feasibility matrices. 3 top features clearly stands out compares to the rest, namely Face Matching, Personality Matching and Pet history.

2.3 mvp fatures

Face matching - creating the buzz

Engaging and entertaining pet search.
Match to any type of animal as long as they are available to adopt.
Creating surprises and delight for user.
Creating more opportunities for pets.
Creating potential internet sensation and buzz.
Use internet buzz to create charitable pet adoption awareness.

Pet details - connecting online & offline experience

Personality matching for serious potential adopters - proven 90% accuracy.
Transparent and detailed information for each pet is up to date.
Adoption status is available in sync with shelter.
Bridging the gap and friction between online and offline.

Classic filters - designed for everyone

Classic filters available for users who have clear specific target.
Classic filters available for less tech-savvy users.
Classic filters available for users who have concerns on their privacy.

2.4 use cases

David

All about social media

-young student
-live with roommates
-into social media

David learned about the app from his instagram feed, many on his friends are posting matching pictures. He wants to try that as well. He grew up with a golden retriever, but as for now, he cannot have a pet, but the app is still fun to play with.

Frankie

Seriously looking to adopt

-working professional
-live alone
-wants to have a pet
-tech savvy
-looking to adopt

Frankie wants to have a dog for a long time, she has been contemplating it for a while. Visited few shelters, but still haven't find the right match yet. She learned about DOPPIE from a dog website, curious about how the matching works, she download the app.

2.5 commer-
cialization

Timeline

Product Roadmap

Product Promotions

Opportunity and interactions among apps

This chart briefly describes how different social apps bringing opportunities to Doppie, and how Doppie connects both online and offline experience together, creating commercial opportunities for shelters.

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