Flexify

Passion Project

2 Months

2023

EdTech

2023

B2C · Consumer

2023

Overview

Overview

Flexify is a customizable language learning app designed to make learning flexible, engaging, and adaptive. It allows users to learn at their own pace while tailoring lesson plans based on time availability and learning preferences, supported by an AI-powered grammar and conversation assistant

The Problem

The Problem

While many language learning apps exist, most struggle to sustain motivation and fail to adapt to individual learning styles or time constraints. Learners often feel overwhelmed, disengaged, or inadequately supported when trying to apply grammar and language concepts in real conversations

The Solution

The Solution

Flexify was designed as a personalized learning experience that adapts to user availability and learning needs. Through customizable lesson plans, focused grammar modules, and an AI-powered conversational assistant, the app makes language learning both structured and flexible.

The Approach

The Approach

I followed a Design Thinking approach, grounding design decisions in research and user behavior to create a more engaging learning experience.

  • Conducted quantitative and qualitative research, along with market and competitor analysis

  • Created empathy maps, user personas, and user journeys to identify motivation and retention challenges

  • Defined clear user flows and information architecture to support flexible learning paths

  • Designed lo-fi wireframes and evolved them into hi-fi screens with a defined color and type system

  • Integrated AI interaction points for grammar checks and conversational practice

Conducting User Research

Conducting User Research

For Flexify, I studied popular language learning apps to understand what drives motivation and where engagement typically drops off. My research involved competitor analysis, building learner personas, and creating user flows to design for consistent progression. The findings led to a focus on personalized learning paths, AI-based conversational practice, and a feedback loop that keeps users motivated over time.

For Flexify, I studied popular language learning apps to understand what drives motivation and where engagement typically drops off. My research involved competitor analysis, building learner personas, and creating user flows to design for consistent progression. The findings led to a focus on personalized learning paths, AI-based conversational practice, and a feedback loop that keeps users motivated over time.

Research and Context

Research and Context

  • Surveyed 52 language learners across Reddit communities (r/languagelearning) and WhatsApp study groups. Key finding: 78% had tried at least 2 apps and abandoned both within 3 weeks.

  • Top 3 abandonment reasons (ranked): (1) Feels like homework, not a habit. (2) No flexibility around schedule. (3) Progress feels invisible until you're "fluent."

  • Insight: "Streaks" worked for some users and caused guilt-driven abandonment for others. Introduced an opt-in streak system instead of making it the default motivator.

"I missed one day and the app made me feel like I'd failed. So I just… stopped."

— Survey respondent #19, Google forms anonymous survey

Figuring out the competition

Figuring out the competition

Language learners want: consistent motivation, clear progress, real-world application, and confidence in using the language — not just completing lessons.

Existing platforms tend to specialize in one dimension: gamification without depth, structure without engagement, or memorization without fluency. While each solves part of the problem, few connect habit-building, understanding, and real usage into a cohesive learning loop.

Flexify’s opportunity lies in blending playful engagement with meaningful progression, helping learners move from daily practice to real conversational confidence.

User Personas

User Personas

User Flow

User Flow

Information Architecture

Information Architecture

The Finished Product

The Finished Product

Results and Takeaways

Results and Takeaways

↑ 72%

↑ 72%

Reported motivation to continue

vs other apps

7 min

7 min

Avg daily session target

set by users during onboarding

↓ 3

↓ 3

Steps to reach first lesson

from 7 (competitor avg) to 4

625 views

625 views

on Behance

with 69 Appreciations, making it my highest ever case study

Flexify demonstrated how personalization and flexibility can significantly improve engagement in language learning. The project strengthened my end-to-end UX skills—from research synthesis to high-fidelity execution—and reinforced the importance of designing learning tools around real user constraints and motivation..

" Designs are like a good story clear, intentional, and worth finishing. "

" Designs are like a good story clear, intentional, and worth finishing. "

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