Call Analytics

Gain deep insights into call performance and customer interactions

Monitor key metrics, understand trends, and optimize your voice operations with comprehensive call analytics. Track call volumes, durations, agent performance, sentiment, system health, and more.

Call Analytics

Key Highlights

Discover what makes this feature stand out

Volume & Timing Analysis

Track daily/hourly call counts, peak times, call duration trends, and distribution to understand traffic patterns.

Agent Performance Metrics

Monitor calls per agent, handling efficiency, pickup/answer rates, hold times, and escalation rates to optimize workforce performance.

Call Outcome & Quality Insights

Analyze call success rates, failure/disconnection reasons, and user sentiment trends (positive/neutral/negative) for quality assurance.

System Health Monitoring

Keep track of critical system performance indicators like latency trends and API response times.

Benefits

See how this feature can transform your business

Optimize staffing based on peak hours and call volume

Improve agent training and call handling efficiency

Enhance customer experience by tracking sentiment and hold times

Increase call success rates by identifying failure points

Ensure platform stability through system performance monitoring

Make data-driven decisions for operational improvements

How It Works

Get started with this feature in a few simple steps

1

Access Dashboard

Navigate to the dedicated analytics dashboard within the VoiceInfra platform.

2

Select Metrics & Filters

Choose the specific metrics, date ranges, agents, or call types you want to analyze.

3

Visualize Data

View trends and distributions through interactive charts and graphs.

4

Analyze Insights

Interpret the data to identify patterns, measure performance against goals, and pinpoint areas for action.

5

Export Reports

Generate and export customized reports for offline analysis or sharing with stakeholders.

Frequently Asked Questions

Find answers to common questions about this feature

Sentiment analysis is performed by processing call transcriptions through natural language processing models to identify positive, negative, or neutral language cues and overall tone.

The platform typically allows extensive filtering and data export (e.g., CSV). Specific custom report builders or dashboard customization options may vary.

Data refresh rates can vary. Call detail records might appear quickly, while aggregated metrics or sentiment scores may update hourly or daily. Refer to documentation for specifics.

Analytics often categorize failures (e.g., busy, no answer, network error, system error) and disconnection reasons (e.g., user hang-up, agent hang-up, transfer) to aid troubleshooting.

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Schedule a demo to see how our solutions work for your industry.