Knowing who speaks, how much, and about what in a training session is critical information for the instructor. But doing this manually with a group of 20 students is practically impossible. AI automates it.
What Participation Metrics Matter
- Speaking time per student: who dominates the conversation and who never intervenes
- Type of interventions: questions, answers, reflections, objections
- Topics generating most discussion: which content sections spark the most debate
- Confusion moments: when students express doubt or ask for clarification
How AI Analysis Works
CallsIQ transcribes the session differentiating by speaker. At the end, the instructor can see how much time each participant spoke, what types of questions they asked, and at which moments there was most engagement.
Early warning signal: a student who participated actively in the first sessions but doesn't speak in the third may be struggling. With automatic analysis, the instructor detects it before it's too late.
Practical Use Cases
Live sessions (Zoom, Teams, in-person)
Record the session, transcribe, and analyze participation at the end. Adjust the next session based on who needs more attention or encouragement.
Recorded training (asynchronous)
Analyze chat questions and forum comments to measure engagement with the content.
Understand every training session deeply
Automatic transcription, summary and intent in under 2 minutes.
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