Post-Call Analytics

Actionable insights with NexaVoxa’s Post-Call Analytics, including full transcripts, sentiment analysis, latency monitoring, and engagement metrics to refine AI interactions and optimize performance.

Actionable Insights to Refine Every Interaction

In AI-driven voice communication, the value of a call extends far beyond the duration of the conversation. NexaVoxa’s Post-Call Analytics transforms every interaction into a powerful feedback loop by providing deep, structured insights into how calls were handled. These analytics empower teams to improve agent performance, optimize workflows, and deliver superior customer experiences with data-backed decisions.

Whether you're running sales campaigns, customer support lines, or lead qualification flows, NexaVoxa ensures that every call leaves behind measurable intelligence.

Full Call Transcripts

Every call processed through NexaVoxa is transcribed in real-time and archived for review. These transcripts allow businesses to:

  • Review exact conversations between AI agents and users

  • Train future agents using actual customer dialogue

  • Audit interactions for compliance and quality assurance

  • Identify common questions or issues raised by customers

Transcripts also support keyword spotting, helping businesses surface calls that mention specific phrases like “cancel,” “complaint,” or “pricing” for targeted analysis.

Sentiment Analysis

Beyond words, tone and emotion matter. NexaVoxa uses AI-powered sentiment analysis to evaluate the emotional tone of each caller throughout the conversation. It can classify moods such as:

  • Positive

  • Neutral

  • Negative

  • Frustrated

  • Confused

This allows businesses to identify calls that may have gone poorly—even if no complaints were voiced directly—and take corrective actions. Sentiment scores can also highlight which prompts or flows lead to better engagement and satisfaction.

Latency Monitoring

In real-time voice communication, response speed is critical. NexaVoxa tracks latency between speech input and AI agent response, helping teams pinpoint performance bottlenecks. By measuring round-trip response times:

  • You can detect infrastructure delays or processing lag

  • Optimize hosting or cloud configurations for faster interactions

  • Improve the user experience by ensuring responsiveness matches human standards

This is especially valuable in high-stakes industries like finance or customer support where even seconds of lag can reduce trust or engagement.

Call Summaries

NexaVoxa automatically generates concise summaries of every call, identifying key takeaways, intent fulfillment, and next actions. For example, a summary might include:

“Customer inquired about subscription pricing, asked about cancellation, and was directed to support email. No escalation required.”

These summaries are useful for team collaboration, CRM logging, and agent handoffs. They also reduce the manual overhead of reviewing full transcripts.

Engagement Metrics

NexaVoxa captures granular engagement data such as:

  • Duration of conversation

  • Number of user interruptions

  • Call abandonment points

  • Prompt effectiveness

  • Action completion rate

These insights allow businesses to fine-tune their voice flows, identify drop-off moments, and test variations to maximize engagement and conversion.

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