Koji for Education review
Koji turns student feedback into scored, comparable and action-oriented quality evidence.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Koji for Education is a browser-based SaaS platform for universities and other higher-education institutions. It conducts adaptive AI-guided evaluation conversations, asks follow-up questions, and turns responses into quality scores, thematic analysis and summaries. Its scope extends beyond course surveys: institutions can combine evaluations with panels, response groups, peer review, instructor reflection, learning-outcome data and pass rates. Koji is positioned for course improvement and educational quality assurance rather than direct personnel decisions.
Pricing is arranged per quality-scored conversation, with text and voice priced separately through an institutional order form. That model ties spend to evaluation activity rather than a conventional package structure. The platform runs on the web and supports SURFconext and SAML 2.0 identity providers, giving higher-education teams established authentication routes. Its reporting is organized for instructors, directors and quality teams, while machine-readable export supports institutional data workflows. Teams that need a confirmed LMS connection should assess that fit before choosing Koji.
The standout capability is the combination of adaptive questioning, quality scoring and longitudinal analysis. Koji can compare courses, programmes, cohorts and years, then extend the view to cross-faculty benchmarking and trend analysis. Action tracking and “You said / we did” feedback loops connect findings with follow-up, while accreditation evidence workflows support quality-assurance work. Feedback is described as anonymous, although anonymity may be forfeited for abusive content. Koji suits institutions that want structured, AI-assisted evaluation and evidence across time; teams seeking only a simple survey tool or a personnel-decision system should look elsewhere.
Koji for Education pros and cons
- Where it wins
- Adaptive AI conversations ask follow-up questions for deeper feedback
- Longitudinal analysis and benchmarking span courses, cohorts and faculties
- Role-based reporting, action tracking and institutional data export
- Where it doesn't
- Pricing is arranged through institutional order forms
- Text and voice conversations have separate pricing
- Teams requiring LMS connectivity should assess integration fit
Koji for Education fact sheet, pricing and score →
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