Ai-powered mobile app
Nalu*
Designed for personalized learning and AI-driven quizzes.
01 // Context and Problem
Nalu is a mobile EdTech concept for adult professionals who want to systematically develop new skills but struggle with content overload and fragmented learning experiences.
The business goal was not simply to provide access to courses, but to create a guided path to results through personalization, structured progression, and AI-generated quizzes that confirm comprehension.
Users complete courses but are not confident they truly understand the material.
Most platforms visualize progress as percentages. This signals activity, not mastery. Learners move forward without structured self-verification, leading to shallow engagement and drop-off.
Core Challenge
How might we transform learning from passive consumption into a controlled, measurable path toward understanding?
Market Reports & Trend Analysis
The global e-learning market is projected to grow at a compound annual growth rate (CAGR) of approximately 15.17% between 2025 and 2031.
User Reviews Across Platforms
I analyzed user reviews and discussions across eight popular platforms (App Store, Google Play, Reddit, Trustpilot, Product Hunt, iRecommend, G2) and synthesized the findings into a concise summary.
User Segments
1. Active Student Goal oriented, structured, motivated by completion and tangible outcomes. Main barriers: overload and loss of focus. 2. Practitioner Comes with a specific task. Wants speed, clarity, applicability. Main risk: disengagement when theory feels excessive.
Personas
Based on 6 interviews, I formed three personas:
Goal Closer
Values structure, efficiency, visible progress.
Pragmatic Practitioner
Cares deeply about practical application and meaningful feedback.
Fast Competitor
Learns quickly, dislikes repetition, seeks intellectual stimulation.
Shared insight:
All personas want to feel meaningful progress, respect for their time, and confirmation that their effort leads to real understanding. This insight reframed the product from a catalog to a progress management system.
Market Reports & Trend Analysis
I analyzed 8 key pages across 8 competitors, focusing on structure, logic, and functional elements rather than visual style. Each was decomposed into functional blocks and prioritized based on impact on engagement, cognitive load, and course completion probability.
Key Gap Identified
Competitors optimize for discovery and content scale. Few optimize for comprehension validation. This became the foundation for product hypotheses.
I built a journey for the primary behavioral persona across key stages, analyzing motivation, expectations, emotional state, and friction points at each step.
