Teachers lack a systematic way to identify confused or disengaged students during and after online classes.

Existing tools offer dashboards with generic metrics but fail to provide actionable, real-time insights into student confusion and engagement based on class transcripts, chat activity, and participation patterns.

Severity

3Medium

Willingness to Pay

implied

Added

May 7, 2026

Implied Software Gaps

AI tool that analyzes class transcripts and chat to identify confused students and provide actionable summaries

App Concept

ClarityCheck

ClarityCheck is an AI-powered post-session analytics tool for online classes that identifies confused, disengaged, or silent students using transcript sentiment, chat tone, and participation data. It delivers a simple, prioritised report highlighting who needs follow-up and when attention dropped, so teachers can act without sifting through dashboards.

Key Features

Post-session confusion heatmap showing timeline of lowered engagement or negative sentiment
Automated flagging of students with low participation or confused language in chat
Summarised follow-up recommendations for each flagged student
Integration with Zoom, Google Meet, and Microsoft Teams

Target Users: Teachers and instructors in K-12 and higher education who teach online or hybrid classes

Revenue Model: Freemium with $19/mo per teacher pro tier, $99/mo per school tier

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