PROJECT SCOPE
• Mot à Mot
• Date: October 2025 - Present
• Duration: Ongoing
• My Role: UX Researcher, UI Designer
• Methodology: Information Architecture, User Flows, Surveys, Usability Testing,
• Tools: Figma, Zoom
RESEARCH OBJECTIVE
• Mot à Mot (French for "word for word") is an early-stage product that bridges the gap between the user and their language-learning goals.
• This means understanding interests and pain points that potential users might have while developing their skills in a different language.
• Mot à Mot seeks to offer features that are often not included in other notetaking platforms, such as grammar and vocabulary quizzes, flashcards, group forming, and community forums that gauge language-exchange.
WHAT WAS THE PROBLEM?
• There are very few digital note-taking applications that focus on language-learning, creating a significant gap for users.
HOW MIGHT WE. . .
• Develop an engaging and interactive application that allows users to explore, organize, and track their language-learning interests?
COMPETITOR ANALYSIS
• I analyzed several platforms such as Notion, Evernote, and Quizlet, mainly focusing on the advantages they provide for language-learners.
• While these applications can certainly be leveraged for language-learning purposes, they primarily focus on general notetaking, creating a disparity for some learners.
• A key insight from my analysis was that many of these platforms had excellent organization and features, but lacked the niche appeal that many language-learners might need.
INFORMATION ARCHITECTURE
• Prior to developing the prototype, it was integral that I first layout the features that would help users navigate the platform and ensure easy navigation.
• By generating a functional model of the content structure, I have greater confidence that the prototypes meet the needs of users who seek language-learning features.
• Given that are very few notetaking applications that focus specifically on languages, the aims of the IA were simplicity, functionality, and consistency.
USER FLOW
• The user flow that I created focused on pinpointing how the user would go about creating a Mot à Mot account or logging into an existing one.
• The goal was to streamline the process and focus on minimizing steps on the user's end while reducing cognitive load.
• Along with the IA, the user flow that I generated served as the foundational step in creating prototypes that were functional and responsive.
HIGH-FIDELITY PROTOTYPES
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KEY TAKEAWAYS
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