Case Study

LitLab

A media literacy app designed to combat misinformation through critical thinking and habit-building

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Role

UI/UX Designer

Scope

UI Design, UX Flow, Prototyping

Type

Academic Product Concept

Tools

Figma, FigJam

Overview

LitLab is designed to help users critically evaluate online information through guided prompts, interactive modules, and practical toolkits that support habit-building and reflection

The Problem

  • Students frequently encounter fast-moving, unverified information online.
  • AI-generated content has made credibility harder to assess at a glance.
  • Students lack accessible, habit-forming tools to pause, reflect, and evaluate information.

The Solution

  • Empower users with guided evaluation prompts to critically question media content.
  • Offer interactive media literacy learning experiences.
  • Build reflection into everyday media consumption through habit-forming features.

Research

Understanding users before designing solutions

Empathy Mapping

To better understand how people engage with online information, I conducted three user interviews and synthesized the insights into two core personas: Max Wilson and Carrie Ann.

Mapping each persona's actions, thoughts, and emotions helped surface key frustrations, motivations, and opportunities that directly informed the product's direction.

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Max Wilson's Empathy Map

Carrie Ann's Empathy Map

Personas

I translated the empathy maps into two personas representing distinct ways people encounter and evaluate online information

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Max Wilson's Persona

Carrie Ann's Persona

Ideate

Turning Pain Points Into Solutions

Mind Mapping

To explore the app's core ideas, I used mind mapping to visualize potential features, learning modules, and quick-action tools

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Card Sorting

I used card sorting to group related features into clear pages and sections

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Design Decisions and Outcomes

What Didn't Work

  • Overwhelming onboarding with too many prompts
  • Long-form articles users wouldn't read in-app

What Was Improved

  • Streamlined to 3 core actions on home screen
  • Micro-prompts replace long articles

What Made It to the Prototype

  • Daily media check-in prompts
  • Credibility rating tool with guided questions
  • Habit tracker with streak system
  • Modular learning cards

Prototype

From structure to interaction

Sketches

I began by sketching each screen on paper using the card-sorted structure as a foundation for navigation and layout

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Low-Fidelity Prototype

I translated the sketches into a low-fidelity prototype and gathered early feedback from peers, AI-assisted usability analysis, and instructor input

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High-Fidelity Prototype

The high-fidelity prototype refined LitLab's visual design, interactions, and user flow based on earlier feedback and testing

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Feedback

What I Learned Through Iterations

LitLab challenged me to think critically about clarity, scope, and user attention, especially within the constraints of mobile design.

This process strengthened my understanding of iterative design, visual hierarchy, and balancing meaningful content with usability.