Case Study: 'Fog'-et-me-not

Project Overview

Completed in early 2023, 'Fog'-et-me-not is a conceptual UI/UX mobile app designed to help users combat and track "brain fog"—a mental affliction that makes thinking, focusing, and memory retrieval feel incredibly difficult.

The Problem

Brain fog makes the world feel dull and exhausting. Users struggle to track the interconnected lifestyle factors that trigger their symptoms, and existing health apps are often too dense. How might we design a tracking tool that is actually easy for someone with a foggy brain to use?

Research & Strategy

I dove into the science of mental fatigue through comprehensive secondary research. This informed the core metrics the app needed to track: Sleep, Diet, Exercise, and Meditation. As a rapid student project, it is built on strong domain research, setting the stage for future primary user interviews and usability testing.

The Process

My process was rooted in creating a frictionless journey:

• Information Architecture: Mapped a seamless flow from account creation to a central dashboard with actionable areas.
• Frictionless Integration: Prompted users to sync their Apple Watch directly with the app to reduce manual input and ease cognitive effort.

The Solution

Designed as a direct antidote to the problem, the UI facilitates absolute ease of use:

• Rejuvenating Visual Identity: Vibrant, fluid typography with bright pink and blue data visualizations create a lively interface, standing in intentional contrast to the dullness of brain fog.
• Bite-Sized Data: The dashboard relies on a simple percentage gauge (e.g., "75% left before beating brain fog") so users can understand their progress at a single glance.

The Impact

This project successfully translates complex health data into a highly accessible, low-cognitive-load interface. It demonstrates how empathetic visual design and color psychology can directly support a user's psychological needs.