MentoLingo Case Study
About Project
MentoLingo is a language learning app that matches learners with language mentors based on their goals and needs. Mentors use gathered data to guide, ensuring a personalized language journey with simple tasks.
Pain Points
-Difficulty in finding a suitable mentor for learners
-Mismatch of teaching and personal characteristics of mentors with learners' expectations
-Lack of a sense of closeness for learners with a uniform system
-Lack of integration in the platform needed for mentoring
Problem Statement
Language learners encounter a significant hurdle in finding mentors aligned with their specific goals and needs.
And Mentors face difficulties identifying suitable students who match their abilities and skills.
Solutions
-Gathering specific information from language mentors and learners
-Suggesting the most suitable options based on the gathered information
-Implementing a flexible training system and schedule tailored to the agreement between the learner and their mentor
-Identifying and incorporating specific tools and features suitable for users
Value Proposition
-Personalized Learning Experience
-Optimized Training Flexibility
-Detailed Information Gathering
After listing the features, I initiated the design phase by creating wireframes. Using flowcharts, I enhanced the understanding of user paths in the product, facilitating their journey to achieve their goals.
And finally, leveraging all the gathered data and insights, I utilized them in the UI design and prototype creation for my product. This enabled me to address the challenges faced by both language learners and mentors effectively.
Main pages
Home
This section enables seamless communication between language learners and mentors, supporting text or voice messaging. Learners can inquire, share tasks, and request scheduled video sessions. Mentors, along with these capabilities, have access to their student list, allowing them to initiate new video sessions for each learner.
Interaction
This section enables seamless communication between language learners and mentors, supporting text or voice messaging. Learners can inquire, share tasks, and request scheduled video sessions. Mentors, along with these capabilities, have access to their student list, allowing them to initiate new video sessions for each learner.
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