The objective of this project was to create an autonomous vehicle to help alleviate people in everyday situations.
We decided to create an app for both the users and the tailors, so that it can eliminate the pain point of shipping/postal service issues. Also, including how-to videos and top-of-the-line measuring software within the app; and allows the user to add items to their cart and send in multiple orders at a time.
Sew Swifty aims to create a high-end tailoring service that provides an accessible and customizable tailoring experience, in order for 5 over 1 communities to have a convenient system that accommodates all types of tailoring and eliminates human error between tailor and user.
Finding a good tailor can be hard. Staying in contact, tracking orders and finding time to pick up your tailored items can be a stressful process.
Wireframing and Prototyping
Mobile App UI/UX
Erin Lawson: Research, Wireframing and Prototyping, Mobile App UI/UX, Brand Identity, Trademark, Illustrations
Miriam Listiak: Research, Wireframing and Prototyping, Mobile App UI/UX
We first looked into what Tailoring companies are implementing into their system, we found that some are adding camera measuring software to get more accurate measurements of customers.
The company, MTailor implements this technology that takes 16 measurements across the whole body. The software can take measurements in 15 seconds or less in 3 easy steps. MTailor is already making tailoring more easily accessible with more affordable shipping, more accurate measurements and a more comfortable fit.
Looking into the tailoring industry, we gathered information on the tailors themselves. The mean age of tailors is 50.3. The industry hiring the most alterations tailors is retail (31%). Some of the areas most populated with tailors are the areas with the lowest tailor salaries.
A survey was created to identify who partakes in this service. Also, how and when people go through the process of getting an item tailored. There were over 70 responses from people we gathered insight from.
Interviewed the owner of Tad More Tailoring to understand their ordering process and see what problems arise throughout.
To get a better understanding of who we are creating this product for, we had to think about the clients and the tailors. We had to put ourselves in their shoes to explore issues that they come across.
Based on our Journey Map and User Empathy Map we formulated ‘How might we’ questions to pick out areas where there could be potentials holes within the process of getting items tailored.
Our Solution is to create an autonomous vehicle delivery service app for Tailoring businesses. With this service being added to this industry, it would enhance the process by allowing tailors to communicate more directly with customers easily and eliminate human error.
After finding the solution to accomplish our goal, a user journey map was created to understand how customers will use the app.
As a group we created paper prototypes to determine what features would be needed for our app.
Based on feedback and narrowing down our ideas, we created high-fidelity wireframes to get a general idea over how the app will look and work.
Based on our research, surveys, and interviews, we decided to create an app for both the users and the tailors. This app would help mitigate human error and allow the tailor to work more efficiently. View Prototype
For first time users, a welcome intro on how the app works is shown.
The user would set-up an account with their information saved.
The homepage consists of a centralized hub of information that the customer will need when finding a tailor and starting an order.
The customer will have a profile page that allows them to keep their measurements, favorite tailors, and orders in one place.
The user would select what type of clothing that needs to be tailored. They must take a picture to mark what areas need to be altered.
The customer is able to access informational videos to help them throughout the process.
Eliminates the pain point of shipping and postal service issues.
Overall, this project was really interesting to work on. We got to go in-depth into a niche industry and see how it functions. I would love to expand on this project and include actual AR footage and an autonomous robot to further contextualize our touch points.