A human-less way of receiving packages
A human-less grocery store
A human-less delivery to your door
The things you need, brought to you by your community. AI analyzes typical movement patterns to help facilitate non-wasteful transfer and conversation.
#MachineLearning #SocialConnection
Core Team
Dillon Chi (UX), Brian Boyle (Advisor)
My Role
User Research, Human-Centered Design, Visual Design, Interviews, Wireframing, User Interface Design
I wanted to learn more about the features that other "last-mile delivery" have to create trust and how they protected human energy, whether that be of the recipients or contractors.
First, I conducted some interviews to test our assumptions such as, what people were willing to pick up for their family vs coworkers vs strangers, and where and how they would want to rendezvous.
"Most of the things that I need are not sold online or are sold in quantities that I do not need."
I donโt use delivery service because I feel that most exploit the laws regarding contractors.
โIt is really costly having to run the store for a specific paper when you only can uberโ
Shopping online forces users to buy larger quantities of items.
Concern for contractor "exploitation"
Brick and Mortars will sometimes carry niche products.
I wanted to learn how people prepared, picked, and purchased things for themselves and others, so I followed three people on their trips to a grocery store, home improvement store, and farmers market.
Shopping online forces users to buy larger quantities of items.
Concern for contractor "exploitation"
Brick and Mortars will sometimes carry niche products.
Shopping online forces users to buy larger quantities of items.
Concern for contractor "exploitation"
Brick and Mortars will sometimes carry niche products.
Shopping online forces users to buy larger quantities of items.
Concern for contractor "exploitation"
Brick and Mortars will sometimes carry niche products.
To confirm features ideated in the previous step I wrote user stories outlining various user journeys based on interviews. I created a variety, from trips to the farmer's market and making an ink run for the office.
User Story Example: This user story shows how someone might know a neighbor needs something from the store that they are at, and let them know that it is on their porch later.
From my research and user studies I decided that out of the types of stores that Relay could launch with. It would gain the most traction for the MVP product if it started out with grocery store items and expanded later.
I created a set of user journeys like this to combine pain points; item aggregation, reporting, and reminders, and stills from ethnographic research to begin identifying stages of the user flow and where system interventions could be introduced.
After the initial crazy-8 session for various key screens I developed a set for paper prototyping and tested that. Taking the learnings from that weekly I created new flows, below is an example of the iteration I did to improve the flow of adding items to the list, our major challenge was dealing with formatting and amounts.
Over the course of 14 weeks I developed an extensive business development plan with fleshed out revenue streams, MVP community selection criteria, tech stack costs and revenue models for year 1, 2, and 3. In addition I created and executed a plan to test Relay in the real world along with marketing plans.
At the height of the pandemic in Q1 of 2020 through a small amount of funding ran a wizard of oz prototype of relay with 8 shoppers. The shopping paradigm that I had initially designed Relay for had changed. Shoppers were no longer making multiple trips to multiple stores, instead most preferred to go to a single store. Knowing that this will most likely change back after the pandemic, this customer segment will join the early adopters - local governments and community organizations such as Meals on Wheels.
ยฉ Dillon Chi 2024