Lexio
Custom logotype.
Forward
This project is currently underway and slated for completion in Spring 2025. Below is an outline of my current progress.
Introduction
When I began my senior capstone project in August, my goal was to design a market-viable digital product that leverages technology for good. To identify the specific subject matter, I drew on two key observations from my summer internship:
Observation 1: Many writing interfaces prioritize formatting the final product rather than supporting the drafting process.
Observation 2: Some multilingual English users rely on ChatGPT to improve their writing's professionalism and fix grammatical errors.
Reflecting on Observation 1, I recognized an opportunity to apply human-centered design principles to create a more supportive writing interface. However, because the word-processing market is dominated by large technology companies, I concluded that focusing on a unique niche would be crucial for market viability.
Observation 2 inspired me to develop writing software tailored for English learners. This niche not only offers a distinct market opportunity but also aligns with my goal to create a product with meaningful impact. The existing use of AI tools by English learners suggested a genuine need, which I later validated through survey data. Additionally, my mother’s experience as an ESL teacher and my cousin’s work as a college admissions consultant for international students further underscored the value of focusing on this demographic.
Rather than simply replicating AI tools, I saw an opportunity to design software that teaches English skills instead of having the AI do all the work. At the same time, incorporating large language model (LLM) technology could enable a tutor-like experience that provides intelligent, personalized guidance.
To validate these ideas, I conducted research and collected data. Throughout this process, I remained intentional about avoiding assumptions regarding what English learners want or need. As someone outside the target audience, empathy and data-driven insights are critical to developing a product that truly resonates.
This capstone project represents an opportunity to merge human-centered design, technology, and social good. I look forward to bringing Lexio to life.
I’ve highlighted some of the slides from my proposal presentation in the case study below. To see all of the slides in their original format, please click the button below.
Research
The research for this project focuses on understanding the unique needs and challenges English learners face in writing, along with exploring how emerging technology can provide effective solutions. To guide the product’s development, I conducted research in three key areas.
Literature Review
I explored scholarly articles on using AI in ESL classrooms. I also reviewed books on teaching ESL, AI in education, and UX design. The notes from this research will inform key aspects of the final application.
Crucial quotes from my literature review.
Audience Inquiry
To understand the needs of my target audience, I distributed a survey to multilingual and English-learning students at RIT, gathering 24 insightful responses. Additionally, I visited the RIT English Language Center and International Student Services and observed the environments and student interactions firsthand.
Key findings from my audience survey.
Market Analysis
To understand the current market landscape, I analyzed the websites of products in the writing and language learning sectors. I also tested multiple services directly. Using Mobbin.com, I curated a collection of screenshots from products related to AI, education, writing, and language.
Select screenshots of 100+ from my market analysis.
Key Insights & Implications
Research confirms that personalized AI feedback enhances writing skills and promotes independent learning. Survey results support this finding, with the majority of respondents who use AI tools reporting them as helpful. Therefore, I will integrate AI feedback mechanisms.
Feedback should explain the rationale behind corrections, as both research and survey responses show that users value guidance over pure error correction. Therefore, product feedback will encourage users to understand their mistakes and gradually improve their self-editing skills.
AI analysis may not detect all errors and can sometimes introduce new ones, which some survey respondents identified as a drawback. Over-reliance on AI can also hinder independent skill growth. Therefore, I will encourage users to critically evaluate AI suggestions, promote informed decision-making, and design the product to discourage mindless correction.
Utilizing automated feedback allows instructors to focus on higher-order skills, deeper discussions, and practical application. Survey findings indicate that users view AI as a complement to traditional education rather than a replacement. Therefore, I will position my product as a tool that augments traditional learning rather than replaces it.
My proposed solution based on the key insights and implications.
Deliverables to support my proposed solution.
Next Steps
In sum, the insights I gathered from my research were crucial in developing a solution that genuinely resonates with my target audience. They will significantly strengthen the deliverables designed to foster independent learning, enhance cultural fluency, and empower writing confidence. With the research done, I can now move on to designing the product experience.
Project Details
My Role
Creator
UX Researcher
UI Designer
Tools
Figma
Adobe InDesign
Google Forms
Academic Library
Timeline
28 weeks (14 elapsed)
Related Work
User Experience
User Experience
© 2024 Max Stromfeld
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