Timeframe:
⎯
July 22 -24
One additional week for additional deliverables presented here
Roles:
⎯
- Researcher
- Designer
- Developer liasion
- Presenter
Skills Employed:
⎯
- Design Thinking
- Product Thinking
- Guerrilla Research
- Personas
- Flowcharting
- Wire-framing
- Prototyping
Platforms:
⎯
- Figma
- Miro
- Adobe Aero
The Hackathon is a partnership with Walmart Technology and American Pets Alive (AmPA). AmPA is the national education arm of Austin Pets Alive, the largest no-kill shelter nationwide, which aims to save as many animals as possible from unnecessary deaths. This challenge aims to solve problems within the common “Return to Owner” process, when a lost animal is brought to a shelter.
1st Place Winner featured on LinkedIn
To design for the RTO process, we first have to understand what is RTO and its process, and the stakeholders involved in this process. Our research relied heavily on literature review and open source information due to the time limitation, but we were still able to construct a working picture of the RTO ecosystem.
After we have familiarized ourselves with the RTO subject matter, we started to research in general current pain points that exist in the RTO process to paint a rough picture of the problem space. In addition, we conducted guerilla user research during the time frame to supplement our findings.
Through our research, we have discovered two most impactful issues , corresponding to the two key stakeholders, within the problem space:
Upon closer examination and further research, we discovered that our previously discovered issues could be viewed as circularly causal: they are both parts of a negative feedback loop of all problems:
And we cannot address these two major issues without breaking the loop entirely, our challenge thereby was defined as coming up with a design solution that can break the any one link of the loop.
At this point, we decided that a digital solution that could potentially break the loop would need to involve the resources from other stakeholders, as the loop itself stems from the lack of resources of pet owners and shelters. Going back to our intial research, we discovered that Community members/General public has the most extensive conncetions in the RTO process, yet, when circumstances allow, has the most direct connection between the lost pet and the owner.
So by having community members more effectively involving in the RTO process, we can help relieve the crowded shelters, thereby potentially breaking the loop.
After we have defined our primary users, we conducted more research in the forms of literature review and guerilla research.
We were able to conduct shorts interviews with 10 people that indicated that they were willing to help a stray pet. And we have constructed a persona and a workflow to summarize our research.
And we found that there are four main concerns:
Therefore, to help community members, our solution needs to support these high-level goals:
AI-powered recognition for getting in touch with the owner
- Database for owners to post their pet
- Contact owner in in-app
Easy to follow training and guidance in Augmented Reality for handling animals
These to approaches combined would produce a much more streamlined process, and higher success rate for the community members to return the pet directly to the owner.
After we have decided on our approaches, we started to determine the informational elements in our design and crystallized that with a information architecture.
After which we started to brainstorm and materialize the design with sketches.
Testing
Due to the 48 hour time frame of the projet, we were not able to receive feedback other than those from the judges of the hackathon, nor produce a interactive prototype. And we are eager to iterate our design with data collected from user testing.
More thorough user research
Once again limited by the time frame of this proejct, we were only able to conduct very basic user research with relatively small sample sizes. And we are fully aware that our extracted insights from the research might be fully presentative of our target audience.
Verify feasbility and efficacy of AI-powered components
While we were designing with our perception of the current state of the techonologies involved, as designers, we were not able to directly confirm 100% feasbility and satisfactory efficacy of our design during the design process.
Zhaohui Zhao