Laundree

The prevalence of laundromats in the United States can be attributed to factors such as population density, housing types, mobile lifestyles, temporary populations, and their role as community spaces. Understanding these dynamics is crucial when developing a laundromat app. By leveraging the convenience and efficiency of mobile applications, a laundromat app can enhance the user experience, address pain points, and further streamline the laundry process for individuals nationwide.

To understand how users feel and think about their current laundry process. Our team conducted interviews with 8 users who are currently using public laundromats in Chicago. The four primary challenges that users are currently facing are:

1. No guarantee that a machine will be available when you arrive at the laundromat.

2. Need to keep track of which machine cycles are complete and camp out if you need more time with a machine.

3. Constantly need to find a supply of quarters.

4. Broken machines can eat tour quarters without a refund.

The goal of the usability test phase is to understand if the mobile application and laundry interface are intuitive and easy to use.

1. Can the user reserve a machine of their choice for a specific date and time?

2. Can the user add their preferred payment method and successfully pay for a laundry cycle?

3. Can the user unlock their reserved machine and start a laundry cycle?

4. Can the user report an issue with their machine?

Our team has identified a specific persona for users of public laundromats.

We considered user goals and created personas to guide our approach. We then mapped out a sequence of actions to help users achieve their objectives. Along the way, we identified opportunities to enhance the experience and create moments of delight for users.

Participants for our tests needed to have experience doing laundry at a laundromat or community laundry room for an extended period of time. We conducted five interviews to test our four features on low-fidelity prototype.

After receiving feedback from usability testing, our team made improvements and fine-tuned the high-fidelity prototype.