A posture app gets straightened out.
Lumo Lift is a wearable fitness tracker and posture monitor with an accompanying app. I worked on this as a personal project because I saw an opportunity in the app and wearable to create an experience that would guide and motivate users to change their habits.
I redesigned the product's UX to have an interface to teach users how to correct their posture through positive and negative feedback loops, uses an interactive demo to teach how the app and product work together, collects data that can inform realistic goals, and creates attainable posture goals through data collection.
The Lumo Lift’s biggest strength is its simple and aesthetically pleasing form. What is lacking however are visual cues that can help assure the user that the product is working or being used correctly. A well-designed product should be easily understood and clearly express its function through its form, but it was difficult to know how to wear the device without referencing the manual or Internet resources.
Walking users through how to wear the device, set their goals and optimize their posture for alignment through a step by step interactive demo is key to device introduction. In addition, demonstrating how their actions impact the data in the app’s interface through call-outs or a guide would have made the interface easier to use.
Posture is a topic that many users would not know the correct metrics of, so it was something of a mystery as to why the posture goal recommendation of 4 hours a day where 40% of the hour was spent in “good” posture should be the norm, and what that meant. It turns out Lumo bases that number on the average of their entire user base, but they have the opportunity to make that number more personal by using information collected in the onboarding phase — including the user’s age, gender and height.
Recording information like job setting or activities performed throughout the average work day or weekend, could help users set more attainable, personalized, and adaptable goals. By introducing more effective information collection during onboarding, users are more likely to feel that they are working towards understandable and personal goals. Instead of defining a good posture hour as an hour where 40% of it was spent in good posture, the app could simply record total time within a day that the user had good posture. There’s no need to introduce percentages when time is easier to digest and better understood as a metric of success.
Once a goal was set, users found them difficult to reach and the coaching reminders a constant nuisance throughout the day. Coaching reminders are time limits set by the user where the device would vibrate if the user was slouching for that length of time. The reminders are recommended to be set for 2 minutes of continuous bad posture for new users.
Users could have been slowly eased into their larger 4 hour good posture goal via shorter and attainable goals. As a user continues to use the device, goal adjustments should be recommended based on your progress and could be adaptive based on the data being recorded over time.
If you slouch for too long, you will get buzzed by the device, but when you correct your posture goal there is no indication that you’ve done something good. Users’ confidence dropped when only being notified for mistakes and a few users I tested took the device off out of frustration. Within the device, the Lumo could have had lighter feedback that was less aggressive.
To help motivate users within the app, having clear color indicators or messages to reward users for having good posture would make them feel better and motivate them to continue the behavior. Instead of making coaching mode only about the device vibrations, the app could utilize the lock screen and allow the app interface to provide helpful information.
The current app overcomplicates graphics by showing information for both the posture and step functions in the same data visualization and on the same screen.
The app could benefit from separating those two unrelated data points and designing graphics specific to each function. By simplifying the interface for separate posture and step graphics, the information could be better digested and specific to the data the user is interested in at the time.
One of the biggest challenges of any wearable is long-term engagement and impacting behavior change. Even though product adoption may be high, continued engagement can drop because the user experience of the device is not motivating enough, does not present the relevant or easily digestible information, and does not create a sound goal setting and goal reinforcement loop. In the end, users I tested were more focused on their fear of getting buzzed, rather than feeling positively about the device and themselves. The Lumo Lift’s main selling point is feeling more confident, and it has the potential to do so if it maximizes the opportunities within the app and physical form to motivate and keep its users interested and informed.