Toni




Langumate User Research

Role: Student Designer

Scope: Brand Design, UI Design


Langumate Main Project

Within This Project I worked with a partner to uncover date and individually we created an app design based off our insight. Langumate has innovative features and user-friendly interface.




Oportunity:

The Language Learning Market is experiencing significant growth, expected to reach USD 191.06 Billion by 191.06 with a CAGR of 18.3% over the forecast period, from its valuation of USD 59.60 Billion in 2021.

With an abundance of language learning apps saturating the market, it begs the question:

Do these applications genuinely empower users to embark on a journey of learning and unleash their maximum potential?


Oportunity:

The Language Learning Market is experiencing significant growth, expected to reach USD 191.06 Billion by 191.06 with a CAGR of 18.3% over the forecast period, from its valuation of USD 59.60 Billion in 2021.

With an abundance of language learning apps saturating the market, it begs the question:

Do these applications genuinely empower users to embark on a journey of learning and unleash their maximum potential?


Research:

The language learning app market experienced a significant surge in revenue, reaching a staggering $2.92 billion in 2021, reflecting a remarkable year-on-year growth of 65%.

The report highlights Ai and ML as key technologies fueling innovation in language learning apps, enabling personalized learning experiences, speech recognition, and language translation.


User Survey:

Q: How important do you think personalization is for language learning apps? (From scale 1 - 5)

22/27 people consider it highly significant. 81.48%

Q: How do you measure your progress in learning a new language?

60% Measuring fluency (e.g. ability to have conversations)

40% Achieving specific learning goals (e.g.passing a language proficiency test)


User Interview:

Q: How important do you think personalization is for language learning apps?

3/3 people consider it highly significant.

- Should prioritize personalization based on individual learning styles, pace, and objectives.

- Maintain user motivation and engagement.

Q: What are your overall thoughts on the potential of AI-powered language learning apps to revolutionize language education?

- Delivering effective, personalized, and engaging learning experiences.

- AI algorithms analyze learners, adapt content, provide tailored recommendations.

Q: How important is instant feedback and correction in language learning apps?

2/3 people consider it highly significant.

- “Instant feedback and correction are essential in language learning apps to help users identify and correct mistakes promptly.”

- “Enable users to correct mistakes promptly and progress faster.”


Learning from Insights



Limited time :

Many language learners face the obstacle of having limited time available to study and practice, which can slow down progress and make it harder to achieve their goals.

Goal to communicate :

For many language learners, the main goal is to be able to communicate effectively in the new language, whether it's for personal or professional reasons.

Desire to track progress :

Learners often want to be able to track their progress over time, whether through formal assessments or informal measures such as conversations with native speakers or keeping a language learning journal.

Ideate

Target Audience

Student: study foreign languages.

Travelers: wanting to communicate effectively in different countries.

Professionals: seeking to improve language skills for career advancement.





How might we help users track their progress and set achievable goals for language learning?

How might we provide personalized recommendations for language learning resources based on the user's skill level?

How might we integrate language learning into users' daily routines and make it more convenient for them to practice regularly?


Solution

Imagine an impact of personalized insights that drive language learners to unlocking their full potential and accelerating their language learning journey.


Idea Brainstorming

Personalized learning paths: Offer customized learning paths based on each user's learning style, skill level, and interests.

Voice recognition technology: Incorporating voice recognition technology could allow users to practice speaking and pronunciation skills in a more interactive way.

Real-time feedback: The app offers users a unique advantage by providing them with instantaneous and invaluable insights, delivered right at the moment of their actions or inputs.

Progress tracking: Providing users with detailed progress tracking could help them identify areas for improvement and stay motivated to continue learning.




User Testing


Based on the feedback obtained from the user testing phase, adjustments were implemented to the wireframe design.


To make it easier for users to track their progress, I made several modifications to the wireframe based on user testing. Specifically, I moved the topic to the top of the screen and added a progress bar to the top to indicate the completion status of each task.


I made adjustments to the plan settings to enhance its clarity and user-friendliness. Additionally, I replaced the 'DONE' button with 'NEXT' to indicate to users that it's not the end of the process.



Reorganized the layout of the languages to a horizontal format. I added a feature for daily goals to keep users motivated and on track with their language learning progress. This feature encourages users to set specific goals for themselves each day and provides them with a sense of accomplishment as they reach those goals.


Limitations & Concerns

Technical Feasibility: Developing an AI-powered language learning app comes with certain technical challenges. The implementation and integration of AI algorithms and models require substantial computational resources and expertise. Ensuring seamless performance and responsiveness of the app, especially during real-time interactions and feedback, may require efficient server infrastructure and optimized algorithms.

Personalization and Data Privacy: Personalization in an AI-powered language learning app relies on collecting and analyzing user data, raising concerns about data privacy and security. App developers must prioritize privacy measures, transparent data handling practices, and obtain user consent for data usage.

Continuous Improvement: AI should be continuously updated and improved based on user feedback and evolving language trends. Regular updates, bug fixes, and adding new features and content ensure that the app remains relevant and effective for learners.