This problem is critical because consistent food tracking is a key driver of health and fitness outcomes i.e. retention, yet users drop off due to friction in the process. User feedback underscores the issue: “I don’t have time to enter every ingredient manually” and “It’s frustrating when I can’t find the right food item or portion size.”
Research shows that users that log food >3 times a week have higher retention and CLV therefore reducing effort in logging directly increases tracking frequency, which aligns with Fittr’s mission to empower users toward their fitness goals. Solving this enhances user satisfaction, boosts retention, and supports monetization through premium subscriptions.
The business goal is to increase weekly active food loggers by 20% within three months by improving food tracking consistency in the Fittr app, driving higher user engagement and retention.
The user problem is that over 50% of Fittr users start food tracking but fail to continue beyond two weeks because the process feels tedious, time-consuming, and effort-intensive. Users struggle with manually entering every ingredient, finding the right food items or portion sizes, and often rely on memory or guesswork, leading to inaccuracies and disengagement.
This feature targets Active Users with Low Tracking Consistency:
A user is considered settled after they've logged x workouts / y meals. Users who cross this number tend to convert by z% more to paid users, have m% higher retention rates and n% higher LTV
The solution, Smart Recommendations & Quick Logging, introduces predictive meal suggestions and one-tap logging to make food tracking seamless and effortless. By leveraging past user logs, community data, and smart defaults, it reduces manual entry and decision fatigue, addressing the core pain points of time, effort, and accuracy.