Reality AI

Empowering educators with a personalized AI teaching assistant that features 15+ tools

Product Design Internship

Web Development

Shipped

Overview

LIs Reality AI is an open-source startup that develops AI entities for teachers and enterprises to optimize education and corporate training.

KAI Teaching Assistant helps educators generate personalized content, but the discovery section didn’t effectively encourage new tool exploration.

During a six-week design sprint, I worked to optimize tool discovery, achieving an 84% team approval rating during our final presentation and earning a promotion to assistant squad lead.

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My Role

Product Design Intern | Assistant Squad Lead – Competitive Analysis, User Interviews, Prototyping, Interaction Design

Team

Savitha Hayavadana, Product Manager
Ogechi Anyanwu, Team Lead
Anastasia Cook, Product Design Intern
Sanjay Kumar Balaji, Product Design Intern
Ranjani Kalaiselvan, Product Design Intern
Aishani Chatterjee, Product Design Intern

Timeline

May - August '24

Project Outcomes

70%

Teacher satisfaction rate

(based on user testing)

84%

Team approval rating

(from PM evaluation & team feedback)

Promotion to a squad lead

(previously an individual contributor)

Goal

_____

Create a discovery page that inspires users
to try out new educational teaching tools

Competitive Analysis

_____

Our team analyzed popular discovery platforms to
identify effective formats that encouraged user exploration

KhanMigo: Color-coded tools

Netflix: Simple grid layout

Instagram: Endless scrolling

My Prototypes

_____

Although the banner was approved, my initial designs
fell short as they came across too boxy and boring

Similar to KhanMigo – not interactive enough

Similar to Netflix – grid isn't enaging

High Fidelity

_____

I refined the design based on PM feedback, focusing on
incorporating more elements for the user to interact with

Final Discovery Page

• Users are shown a curated array of teaching tools based on profile information & prior tool usage
• Our team focused on ensuring the discovery page was an engaging experience that motivated users to explore new tools

Discovery Chat

• Based on user inputs, KAI will suggest specific tools to help the user complete a given task
• KAI will actively try and break down the user's problem to narrow the scope and provide the best tool recommendations

Project Outcomes

70%

Teacher satisfaction rate

(based on user testing)

84%

Team approval rating

(from PM evaluation & team feedback)

Asst. squad lead promotion

(previously an individual contributor)

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