Call Analytics (تحليلات المكالمات)
Call analytics is the practice of measuring and interpreting customer phone interactions to improve performance. It tracks metrics like handle time, resolution rate, and sentiment, and uses AI to transcribe and mine calls for trends, compliance issues, and coaching opportunities.
In Iraqi dialect
يحلل المكالمات حتى تعرف شكو المشكلة
In detail
Every call is a data source. Call analytics captures recordings and transcripts, then applies speech-to-text, keyword spotting, and sentiment analysis to surface what is really happening. Dashboards show volume, wait time, abandonment, first-call resolution, and agent performance. More advanced systems detect compliance phrases, spot recurring complaints, and score quality automatically. Managers use these insights to coach agents, fix process gaps, and forecast staffing. When combined across channels, call analytics becomes the intelligence layer that turns raw conversations into measurable business improvement.
Practical example
Call analytics revealed that 30% of calls were about password resets, so the team automated that flow.
Frequently asked questions
What metrics does call analytics track?
Handle time, first-call resolution, abandonment, wait time, sentiment, compliance, and per-agent quality scores.
How does AI enhance call analytics?
AI transcribes every call and mines it for topics, sentiment, and compliance automatically — at scale.