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Call Analytics ​

Learn how to analyze your call performance data, including new contact-based filtering capabilities.

Overview ​

Call analytics help you understand:

  • How many calls you're receiving
  • Call performance metrics
  • Contact interaction patterns
  • Trends over time

Analytics Features ​

📊 Statistics Dashboard ​

View key metrics including:

  • Total Calls: Overall call volume
  • Average Duration: How long calls typically last
  • Satisfaction Levels: Customer satisfaction ratings
  • Response Rates: How well your assistant handles calls

📈 Trend Analysis ​

Track changes over time with:

  • Daily/Weekly/Monthly Views: See patterns across different time periods
  • Interactive Charts: Visual representation of your call data
  • Comparison Periods: Compare current performance to previous periods

🎯 Contact Analytics (New Feature) ​

Filter all analytics by specific contacts:

  • Individual Contact Performance: See metrics for specific callers
  • Contact Satisfaction: Track satisfaction levels for individual contacts
  • Calling Patterns: Understand when and why specific contacts call
  • Resolution Tracking: Monitor if contact issues are being resolved

How to Use Contact Filtering in Analytics ​

Step 1: Access Analytics ​

  1. Navigate to the Analytics section in your dashboard
  2. You'll see the main analytics overview

Step 2: Filter by Contact ​

  1. Look for the "Search by contact" dropdown
  2. Select the contact you want to analyze
  3. All statistics will update to show data only for that contact

Step 3: View Filtered Results ​

The following metrics will be filtered by your selected contact:

  • Call volume from that specific contact
  • Average call duration for their calls
  • Satisfaction ratings from their interactions
  • Main calling reasons for their calls
  • Trends over time for their call patterns

Combining Filters ​

You can combine contact filtering with:

  • Date Ranges: See analytics data for specific time periods — all results, including calling reasons, are filtered based on when the calls were received
  • Assistant Filtering: View contact interactions with specific assistants
  • Time Intervals: Change the view from daily to weekly or monthly

Analytics Types ​

Satisfaction Analytics ​

  • Overall Satisfaction: General satisfaction levels
  • Contact-Specific Satisfaction: How satisfied individual contacts are
  • Satisfaction Trends: How satisfaction changes over time

Calling Reasons ​

  • Top Reasons: Most common reasons people call
  • Contact-Specific Reasons: Why specific contacts call
  • Reason Trends: How calling reasons change over time
  • Date-Filtered Reasons: When you select a date range, calling reasons are correctly filtered based on when the calls were received

Performance Metrics ​

  • Call Success Rates: How often calls are successfully handled
  • Duration Analysis: Understanding call length patterns
  • Contact Engagement: How actively contacts interact with your assistant
  • Data Accuracy: All metrics are based on deduplicated call data — duplicate call events are automatically filtered out so your numbers are always correct

📝 Feedback Analytics (New Feature) ​

Track how users evaluate their call experiences:

  • FAQ Feedback: See how users rate FAQ suggestions with thumbs up/down
  • Feedback Categories: Understand why users give negative feedback through categorized responses:
    • Conversational flow issues
    • Wrong answers from the assistant
    • Lack of knowledge (automatically creates knowledge base gaps)
    • Voice quality concerns
  • Knowledge Gap Creation: Monitor when negative feedback automatically generates knowledge base gaps for improvement

Tips for Effective Analytics:

  • Use contact filtering to identify your most important or frequent callers
  • Track satisfaction trends for specific contacts to ensure service quality
  • Combine date ranges with contact filtering for detailed analysis
  • Regular review of contact-specific analytics can help personalize service
  • Monitor feedback categories to identify common issues and improvement areas
  • Pay attention to knowledge gap creation patterns to proactively improve your assistant's knowledge

If you need help interpreting your analytics, please contact your administrator or support team!