Body Labs Blue
This is a project I lead as the sole UX Designer at Body Labs. Body Labs Blue is a tool for creating custom clothing through four key measurements. The goal of this product is to allow users to feel confident buying custom clothing when entering only a few measurements but also to allow users to manually enter correct measurements as desired.
Body Labs is now a part of Amazon.
| Year: | 2016 |
| Company: | Body Labs |
| Role: | UX/UI Designer and Developer |
| Duration: | 4 Months |
Product Description
Through an easily embedded Web interface, Body Labs Blue uses artificial intelligence (AI) and machine learning algorithms to reference just the height and weight of your customers to predict 19 highly accurate additional measurements ideal for custom clothing or sizing recommendations. To help ensure accuracy, your customers can also refine six-key measurements predicted by Blue. This enables your business to deliver clothing customization and standardization that scales for any purchase volume or web traffic.
Product Demo
In this demo, Jon enters his 4 key measurements and Blue calculates his most likely measurements. He can then either shop immediately, or refine his results. Jon is then shown how each measurement is accurately taken and his predicted result. After Jon enters the measurements he feels are necessary, he can hit update to get a new set of predicted measurements.
User Testing Insights
- Users didn’t believe the calculation could happen instantaneously
In our original tests, users got their results immediately after hitting the submit button with their initial measurements. Because this was so fast, users didn’t trust the calculation. To fix this we added a loading screen. - Measurement names are nonstandard
The term "waist" means something different to every person. We had to make sure our users knew exactly what we meant by each term so that they could take correct measurements. - Users don’t know how to take their measurements
In addition to the terms being confusing, users often took their measurements sitting down at their computer, resulting in inaccurate measurements. We had to make sure to provide clear instructions about how to take each measurement so users could provide accurate data. - People don’t want to see their body models
In many of our early prototypes, we showed the body model created from the measurements provided. We found that people didn’t identify with their body model and were less likely to believe their results. In the final version, we removed the body model, only showing a model for measurement instructions
Axure Prototypes
I did most of the prototyping for this product in Axure. Here are some of my earlier prototypes:
