Call Analytics That Show Patterns You Already Suspected

We built call analytics because watching managers guess about call volume, agent performance, and service levels based on vibes instead of data seemed like a problem.

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99.99% Uptime

Two-node HA cluster with automatic failover. Not a joking matter.

Flexible Contracts

Month-to-month. Because locking you in for years doesn't inspire great service.

Real Support

Actual humans answer. It's a 9 second support wait. We measured it. Not making it up.

2500+ Businesses

Using our phones to take calls right now instead of filing support tickets.

What's Broken & How We Fix It.

Stop managing call centers based on gut feelings and random spot checks. Stop discovering problems three days after they happened. Get visibility into what's actually happening right now.

No Visibility

You don't know how many calls are waiting until someone complains about hold times.

Agents Not Performing

You think some agents perform better than others but you can't prove it with data.

Solution Guessing

Monday mornings are chaos but you don't know if it's volume, staffing, or something else.

After-The-Fact Problem

You discover missed calls and service level failures when reviewing yesterday's reports.

What You Get

Call analytics from your actual phone system. Not separate reporting tools that don't integrate, visibility into every call with metrics that actually matter.

Live Volume Dashboards

Real-time view of calls waiting, calls connected, and calls abandoned as they happen.

Agent Performance

Automatic tracking of talk time, handle time, calls per hour, and productivity metrics.

Historical Trends

Track call patterns over days, weeks, or months to identify trends and forecast needs.

Service Monitoring

Track whether calls are answered within target timeframes and see compliance in real-time.

Missed Call Tracking

See every missed call with timestamp, caller ID, and which agent was supposed to answer.

Custom Metric Alerts

Get notifications when metrics exceed thresholds you define for intervention.

Call Disposition Reporting

Track call outcomes, categorize interactions, and measure resolution rates automatically.

Exportable Reports

Download data for external analysis, executive reporting, or integration with other systems.

Peak Time Identification

Automatic detection of busiest hours and days so staffing matches actual demand patterns.
  • The AI Is Already Running

  • AI-first since 2016. Live today, not on a roadmap.

Vaspian has been building AI into business phone systems since 2016, nearly a decade before “AI-first telecom” became a marketing buzzword.
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All Communications In One Place.

The actual Vaspian One interface your team uses. Dashboard shows message volume, response times, and conversation analytics. No surprises. This is what you're getting.

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Our Pricing Plan

Contact sales for pricing based on agent count and features needed.
  • Custom Quote
  • Not "starting at" pricing that quadruples after you sign up.
  • Real-time dashboards with live call metrics
  • Agent performance tracking
  • Historical trend analysis
  • Service level monitoring with goal tracking
  • Missed call tracking with caller ID
  • Custom metric alerts via email or SMS
  • Call disposition reporting and first-call resolution
  • Exportable reports (CSV, PDF) with scheduling
  • Wallboard displays for team visibility
  • Works with Vaspian phone system
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Why It Actually Works

Call analytics isn't complicated. Track calls as they happen, aggregate metrics that matter, display them clearly so managers can make decisions. The complexity is making data accessible without overwhelming people.

Problems Caught Early

Real-time visibility means intervention during problems, not discovery after they're over.

Agent Coaching

Performance metrics identify who needs help and what kind of help they need.

Historical Lookup

Historical patterns show exactly when you need coverage instead of guessing.

Accountability Charts

Metrics show who's performing and who's not without manager surveillance.

Ready To Actually Know What's Happening?

Most managers figure out call analytics reveals things they didn't know within the first week. Usually within the first day. Occasionally within the first hour when they see real-time queue depth and realize they've been understaffed during lunch rush for months.
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Common Questions

Find quick answers to the most common questions about our courses and platform.

Call analytics tracks the numbers: how many calls, how long they lasted, who handled them, when they happened, and whether service levels were met. Speech analytics analyzes what was actually said on calls using transcription and AI. Call analytics is about metrics and dashboards. Speech analytics is about words and sentiment.

Depends on how you configure it. You can give agents access to their own dashboards showing their personal metrics without seeing team averages. Or restrict dashboards to supervisors only. Most operations show agents their own data to encourage self-improvement.

Typically 12-13 months of detailed call data available for analysis. Older data can be archived or exported if you need longer retention for compliance. System maintains granular data (individual call records) for recent months and aggregated summaries for older periods.

Yes. Call analytics segments data by whatever categories matter to your operation: department, campaign, agent group, phone number called, time of day, or custom tags. See performance broken down by segment instead of just overall averages.

Calls keep working (assuming proper failover configuration), but real-time dashboards won’t update until connectivity restores. Call data logs locally and syncs when connection returns. No data loss, just temporary dashboard unavailability.

Yes. Configure different thresholds for peak hours vs slow hours. Alert when queue exceeds 10 during lunch rush but only 5 during morning. Set service level goals of 80% during normal hours but 90% during slow periods.

Historical patterns show seasonal trends, day-of-week patterns, and time-of-day fluctuations. Last December averaged 30% more calls than November. Use this data to forecast next December staffing needs. Reduces guessing about future capacity requirements.