A research team in the Sociology department of a Spanish university used CallsIQ to analyze 45 semi-structured interviews about work experiences in the tech sector. The result: a 60% reduction in analysis time without loss of methodological rigor.
The Challenge
The team had 45 recorded interviews with an average duration of 75 minutes. Manual transcription of the entire corpus would have required 450-600 hours of work. With available funding, this was practically unfeasible within the project timeline.
The Implemented Solution
Automatic transcription of the full corpus
All 45 interviews were transcribed with CallsIQ in under 48 hours. The team verified a 20% random sample and found average accuracy of 94% in standard Spanish, with some errors in proper names and technical terms that were manually corrected.
AI-assisted thematic pre-analysis
AI generated a thematic summary of each interview identifying main themes. Researchers used these summaries for the familiarization phase, reducing initial reading time from 3 weeks to 4 days.
Team's methodological reflection: "AI made no interpretive decisions. But it eliminated the mechanical tasks that took time away from analytical thinking."
Results and Lessons Learned
The project was completed in 5 weeks instead of the planned 3 months. The team used the saved time for a deeper second round of analysis and triangulation with quantitative data.