Wiserep AI - Enterprise AI Voice Call Center Platform and Automation Solution

Home/Glossary

Call Analytics

Call analytics is the practice of capturing, analyzing, and acting on data from customer phone interactions to improve service quality, conversion, and operational efficiency.

Key metrics

  • Average Handle Time (AHT) — total time per call including hold and wrap-up.
  • Customer Satisfaction (CSAT) — post-call rating from the customer.
  • First Call Resolution (FCR) — % of issues resolved on the first contact.
  • Abandonment rate — % of callers who hang up before reaching an agent.
  • Service level — % of calls answered within a target time window.

AI-enhanced analytics

AI brings call analytics from sampling to 100% coverage. Every call can be transcribed, scored, and tagged for sentiment, intent, compliance, and coaching opportunities — automatically.

That changes the unit of work for QA from auditing 2% of calls to investigating outliers across 100%. The same pipeline feeds CX teams, sales coaching, and product feedback loops.

How to act on the data

  • Feed transcripts and intents back into agent prompts and routing rules.
  • Trigger coaching workflows when calls breach quality or compliance thresholds.
  • Push themes into product, marketing, and CX backlogs weekly, not quarterly.
  • Use cohorts (channel, intent, region) to find drivers of CSAT and churn.

Related terms

WiseRep includes built-in call analytics on every plan.

Every call transcribed, scored, and routed into your CX and revenue workflows automatically.

Request Demo