
About
This app offers AI-powered interview practice for young children preparing for school admissions. It transforms interview preparation into an engaging forest adventure with interactive levels and immediate AI feedback on responses.
What's New in Little Candidate
1.0.18
June 9, 2026
fix bugs
Subscription plans
月度會員
暢享所有功能
FAQ
What is Little Candidate?
Little Candidate is an AI-powered interview practice application designed to help young children prepare for school admissions. It uses a game-like approach with interactive levels and AI feedback to build confidence.
What age group is Little Candidate for?
Little Candidate is designed for children from K2 to P1, typically preparing for primary school interviews. The app is rated for ages 4+.
How does Little Candidate's AI scoring work?
The AI uses voice recognition and triple signal assessment for pronunciation accuracy. Children receive immediate feedback with a star rating after each answer, indicating areas for improvement.
What types of interview questions does Little Candidate cover?
The app features over 100 levels covering common primary school interview topics, including self-introduction, picture storytelling, general knowledge, logical thinking, and English conversation.
Does Little Candidate offer a free trial?
Yes, the monthly membership plan includes a free trial for the first month. After the trial, the monthly membership costs $29.99.
What are the subscription options for Little Candidate?
Little Candidate offers monthly ($29.99/P1M), semi-annual ($99.99/P6M), and annual ($179.99/P1Y) membership plans. The monthly plan has a promotional first month price of $29.99.
How often is Little Candidate updated?
The app was last updated on June 9, 2026, with version 1.0.18. Updates typically focus on improving features and content based on user feedback and educational trends.
Can I track my child's progress with Little Candidate?
Yes, the app allows you to record and replay your child's answers to speaking questions. This feature helps you compare their responses over time and visually track their progress.



