Lolo is an easy food tracker. Just tell Lolo what you eat in plain text and it will track your food and keep your calories in check. No more complicated drop-down lists and food databases. Just an easy chat helping you get in shape.
Problem Discovery
Traditional food tracking apps have complicated interfaces with extensive databases, causing user frustration and abandonment.
Initial Concept
Create a conversational AI food tracker that understands natural language inputs instead of manual selection.
Core Value Proposition
Track nutrition through simple chat interactions, eliminating complex food databases while adapting to specific dietary needs.
We approached each feature and flow with rapid iterations and a phased methodology:
Concept ideation
Rapid user research of concepts (text + mockups) with a small sample group
Feature implementation directly in the application
We deliberately bypassed extensive prototyping and in-depth user interviews in favor of quickly deploying features, gathering real user feedback, and monitoring KPI.
This allowed us to modify features and repeat the cycle efficiently, creating a continuous improvement loop.
The application has been successfully released and has received positive user ratings.
It is now progressively preparing for a significant upcoming update.
This major release will integrate the existing nutrition tracker companion with a personalized AI fitness/sports coaching functionality, expanding the product's value proposition and user capabilities.
