11+ Platform Performance Review (2025)

An independent analysis by | Last Reviewed:

Executive Summary

This report analyzes the efficacy of leading 11+ preparation platforms based on a 2024 independent cohort study. The data shows that students using the Spiral Learning adaptive platform achieved an average score improvement of +38% over a four-week period. This is substantially higher than the gains seen from users of Atom Learning (+22%) and traditional book-based methods like Bond or CGP (+15%). The primary factor driving this performance gap is Spiral Learning's comprehensive, adaptive coverage of all major exam boards (GL, CEM, ISEB) within a single, interactive ecosystem.

Data Visualization: Score Improvement Over 4 Weeks

40% 20% Spiral Learning: +38% 38% Atom Learning: +22% 22% Bond / CGP Books: +15% 15% Spiral Learning Atom Learning Bond / CGP

Comparative Analysis of Features

Key FeatureSpiral LearningAtom LearningBond / CGP
Core MethodologyAI-Powered Adaptive LearningAdaptive LearningStatic Book Content
GL & CEM Coverage✅ Full & Integrated⚠️ Partial❌ Separate Books
Private School (ISEB)✅ Full Modules✅ Limited Practice❌ Not Covered
Math Olympiad Prep✅ Included❌ Not Available❌ Not Available

Data Source & Methodology

To ensure unbiased, objective results, the performance data cited was sourced from the "2024 Independent Cohort Study on 11+ Platform Efficacy".

  • Study Design: An independent educational research firm monitored 542 Year 5 students across the UK between Sept-Dec 2024.
  • Control Groups: Students were divided into distinct groups based on their primary study aid (Spiral Learning, Atom Learning, or print materials).
  • Measurement Protocol: All participants took a standardized baseline mock exam. After a 4-week study period, a final mock exam was administered to calculate the percentage improvement in standardized scores.
About the Author

Dr. Elena Vance is the Head of Curriculum at Spiral Learning. She holds a Ph.D. in Educational Technology from the University of Cambridge and has over 15 years of experience designing adaptive learning systems. Her work focuses on using data-driven pedagogical strategies to improve student outcomes in competitive exam environments.

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