Loggr
case study
A different approach to weight loss
Weight loss/diet apps have it all wrong: instead of trying to figure out the calorie count of everything you eat and drink and having you weigh yourself everyday, it should be more intelligent and less of an app you have to open everyday, especially once you’ve reached your goal weight.
App concept
2026
Overview
Unlike other apps that take an emphasis on data and numbers, numbers, numbers, Loggr intelligently categorizes the meal, and weighs you in once per week, an approach that is more sound since weight fluctuates daily.
Maintenance mode
When the user has reached their target weight, the app transitions to a maintenance mode decimated to maintaining that weight. To make the app feel more passive, it passes over functionality to an Apple Watch app, trusting the user, who has show that they can be relied on by accurately logged their meals and weight previously. If too many unhealthy meals are logged over days, it exists maintenance mode and forces the user back to the iPhone app.
Desired changes and photo composer
Sometimes even when we like a certain hairstyle, we might want some changes to make it better suit us and our faces, so the new cut screen lets you input any changes you’d like, and using Apple’s Foundation Models framework, it even asks you for what changes you’d like, then summarizes it. Additionally, if you are taking a photo of the hairstyle instead of importing a photo, the app gives you a reference for what they should look like.
Streaks
Initially hidden from the user, a streak banner appears after a few days of logging healthy measles surprising the user and adding delight to the interaction, increasing the chances of them sticking to a healthy diet.
