eND-To-End app
UX research
Interaction Design
Ui design
Usability testing
Branding
UX RESEARCH
INTERACTION DESIGN
UI DESIGN
USABILITY TESTING
NOTE: I am not employed by adidas. This case study showcases a theoretical project using adidas products as content examples.
I strength train at a powerlifting gym, and I have a hard time tracking my PRs. There are three main lifts in powerlifting: Squat, Bench, and Deadlift. Tracking PRs for these lifts is essential to build strength. Most people rely on their memory. However, I can not count the times I have heard a fellow gym mate say, “Is that the most reps I’ve done at that weight!?” And since I have difficulty tracking MY rep PRs, I wondered if anyone else had found a solution.
Through interviews, a survey, and competitive analyses, I discovered that members of my powerlifting community use various tools, but there wasn’t one that fit all of their needs entirely.
I designed a comprehensive app for strength athletes to track their personal record data over time.
Understand how strength athletes track their progress and see if there is room for improvement.
USER SURVEY
USER INTERVIEWS
COMPETITIVE ANALYSIS
I collected 25 survey responses from my network. One significant insight from the survey was that all but three used multiple tools to complete the task of tracking their progress, and there were 22 unique combination combinations.
I was curious about all the tools mentioned in the survey, so I made a slide deck to list the pros and cons.
Using the survey results, I recruited six interview participants. All participants focus on strength goals primarily over aesthetics and health, and five are competitive powerlifters. These interviews revealed frustrations with tracking progress, and several common themes stood out.
5 of 6 participants compete
All participants wish they could see how their data adds up over time
4 of 6 participants regularly film their lifts
I knew my primary user was a competitive Powerlifter, but I found so much variation in actions and attitudes during my interviews that I made three personas. Later, I mostly referenced my primary persona, Chelsea, but also often questioned, “How would Miguel or Amber interpret this feature?”
Focusing on competitive powerlifters who film their lifts helped guide the format and features of the app.
I created a before and after storyboard to help sort out what features I needed in the app. I focused on the scenario of a lifter who had just finished a set of squats. She immediately questions if she has ever lifted that weight for that many reps. Knowing it is a PR gives her confidence and drive to keep lifting.
I wanted everything to be accessible from a dashboard or homepage. From here, I wanted everything to be surface-level and easy to access since users would often access the app while at the gym getting a workout in.
Squat, Bench, and Deadlift are the most critical lifts, and many lifters track these one-rep maxes by memory. I wanted to start by exploring by pairing these with goal numbers front and center to provide clear motivation.
For my initial sketches, I worked on how to provide the most critical information right away. From there, what is the easiest way to quickly find different PRs? I also knew I wanted the user to be able to add a PR from anywhere, so I included a button for that in the main navigation.
I created lo-fi wireframes based on three tasks: checking the training percentage of a training max, adding a PR, and sharing a PR. For the sharing portion, I wrestled with how far to take it. Should the app include a “wall” or “feed” complete with friends’ posts of their PRs?
With help from my mentor, I steered away from including a news feed. We wanted to keep the PR tracking focus of the app. Instead, I included a way for Lifters to share their PRs on Instagram stories, including a pre-designed template with their numbers.
I wanted everything to be accessible from a dashboard or homepage. From here, I wanted everything to be surface-level and easy to access since users would often access the app while at the gym getting a workout in.
I performed five usability tests over zoom. Ideally, I would have only recruited Powerlifters. But, I had tight scheduling, so I settled for two powerlifters and three others participating in general strength training. During the test with the powerlifters, I paid particular attention to what they mentioned when navigating the powerlifting-specific elements. For the other three, I focused on their reactions to usability in general.
During the review PR and sharing tasks, several participants reacted with delight.
While all participants completed the assigned tasks, I found a few ways to reduce friction points based on their feedback.
“It's exciting that there’s different ways to analyze things”
I was creating this app from scratch, and I needed branding. However, I didn’t want to allocate tons of time to this portion of the project. So I did a quick visual audit of the fitness and strength tracking space, brainstormed names, and quickly sketched out options for a logo. I kept the name straight to the point (LiftTracker) and quickly sketched and refined a wordmark using the same typeface as the rest of the app, Roboto. I knew I wanted to work in dark mode and use a triadic color scheme as a color code throughout the app - using each color to represent a different lift.
“This seems like a great idea. I have tried a lot of food tracking apps, including Lifesum. It was a really nice app, but ultimately I felt that Lifesum was too rigid.”
For this project, I designed a very slimmed-down MVP. While I had plans to include additional features, I did not have time to implement them in this round of design. In the future, I would like to add the calendar so lifters can track how events in their lives influence their PRs, goals, and profile settings, and a version for weightlifters. For example, a weightlifter could track snatch, clean, and jerk instead of squat, bench, and deadlift.
I also was not able to collaborate with any developers. I know there is existing technology to track a bar path, but I don’t know how accurate a depth check feature would be. I would also like to do more user testing around the video analyses.
My next steps include building these features, testing, and iterating. Specifically, I’d like more thorough testing with powerlifters and weightlifters.