Context

SafeDeliver is a crowd-sourcing platform for package delivery and logistics. It enables homeowners who stay at home or work from home to accept and hold packages for their neighbors until they get home.

My Role

I was the sole designer, working with the 3 co-founders who contracted the agency I worked for, along with the agency’s project manager. I managed all visual and UX design.

The Problem

The last-mile of package delivery consists of missed deliveries, stolen packages, and packages being damaged by weather. We sought to give people peace of mind knowing their package is in good hands until they receive it, and to provide another way for neighbors to connect.

The Goal

To better understand the viability of such an idea and to see if neighbors would be willing to pay an extra dollar or two to avoid dealing with the hassle of deliveries.

Understanding The Last-Mile Problem

We needed to know why this problem happens and how it affects people. Understanding the pain points and frustration involved with missing or losing packages would provide us with some insight into areas we could address.

USER RESEARCH

We then needed to understand how neighbors interact with each other… would they be willing to take people’s packages, or would other neighbors even be willing to give permission for them to take their packages? What about paying for such a service? Is it worth it to them? We had all these questions that needed to be answered.

BEHAVIORS & INTERACTIONS

We needed to design a simple way to make a transaction between the person receiving/holding the package and the person who’s paying for the service to get their package. We asked ourselves how this would work for both parties?

We looked at similar products like Uber, Lyft, and Doordash — these products involved similar crowd-sourcing models that involved a transaction between two parties that kept them honest, but happy.

FINAL DESIGNS FOR TESTING

We wanted to test this interaction quickly and get feedback as soon as possible, so we jumped straight to some high-fidelity mockups to prototype and test with prospective users. Our goal was to create the best interaction possible.

End Results

This project did not make it any further than the prototyping stages due to lack of funding. But we gained valuable insights into crowdsourcing applications and their business models.