
Manual Transcript Analysis is Broken
Time-consuming, inconsistent, and missing critical insights
Current Challenges in Audio Analysis:
- Overwhelming Volume: Teams struggle to review hours of recordings
- Inconsistent Evaluation: Manual analysis varies between reviewers
- Missed Insights: Critical patterns and topics easily overlooked
- Delayed Action: Analysis backlogs prevent timely responses
- Limited Visualization: Difficult to track sentiment changes over time
For call centers alone, managers spend 3-5x the original call duration on review and quality assurance. This creates bottlenecks, inconsistent feedback, and prevents scaling quality monitoring as volume increases. What's needed is an automated solution that processes conversations at scale while extracting deeper insights than humans can efficiently identify.