QuizliAI: AI Study Assistant iOS App

QuizliAI is an iOS AI study assistant that turns a student's textbooks, notes, and course materials into bite-sized, testable study sessions. The product centers active recall, helping learners work through material in a structured way.

The onboarding pairs a personal founder message with cited cognitive-science research, then introduces the product and its trial offer. That sequence gives students context for the learning method before they are asked to subscribe.

AI study products need to earn trust early. Students and parents want a clear reason to believe a study method can support real learning, especially before entering a subscription flow.

The experience also needed to make pricing easy to understand for price-sensitive users. The trial and subscription journey had to set clear expectations from the first screen.

The Science of Mastery screen brings cited cognitive-science research into the onboarding experience. The app presents active recall as the learning foundation, alongside an in-app citation attributed to Karpicke and Blunt.

This research framing gives learners a concrete explanation of the study approach. It positions the product around a learning method, supported by a clear visual story, before the app asks users to continue.

The onboarding moves through a deliberate sequence:

Welcome. Introduces QuizliAI and the study experience.

Founder message. Adds a personal point of view and a clear mission for the product.

Science of Mastery. Explains the active-recall approach through cited research.

Product journey. Shows how course material can become structured study sessions.

A human founder message early in the flow adds context to an AI-driven product. The research screen follows with a clear explanation of the learning framework, creating a trust-focused path into the app.

The trial screen shows the annual price and the no-payment-due-now message before the subscription begins. The goal was to make the trial timeline and pricing terms clear at the point of decision.

By placing the price and trial reassurance together, the screen helps users understand the subscription path before they continue.

I led the UX/UI, onboarding, and trial and pricing design for QuizliAI. The work focused on creating an approachable iOS learning flow that connects product story, research framing, course-material ingestion, and subscription decisions.

Designed an iOS AI study experience built around active-recall learning

Created an onboarding flow that introduces the founder, learning approach, and product journey in sequence

Brought cited research into the interface to explain the method behind the product

Designed a clear trial and pricing experience for student users

Built a visual system that keeps a complex AI learning product focused and easy to follow

QuizliAI helps students turn course material into structured study time with a learning method explained from the first session.