Have you ever tried to figure out how students feel about school and its programs, only to discover students rate everything a "3 out of 5" or describe school as "okay"...and then spend countless hours trying to decipher what they actually mean? Polaris solves this problem by using ethical AI to analyze authentic student conversations at scale, allowing students to voice their ideas through natural dialogue and written responses that preserve the richness of their actual experiences.
This analysis platform provides students with a user-friendly portal populated by questions co-constructed with AI to address building concerns, school climate, programming, pedagogy, and more. Administrators can easily add new questions and schedule "Days of Listening" for students to engage with topics that matter most to their community, ensuring relevant and timely feedback collection.
Administrators can then query this data that not only provides comprehensive analysis and actionable suggestions but cites actual student audio clips to support every claim. This creates both evidence-based insights and social-emotional connections to the work, transforming abstract data points into authentic student voices that drive meaningful change. Rather than guessing what "okay" means, educators hear directly from students about their experiences, needs, and ideas for improvement.
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