Using the Metrics Dashboard

The Metrics tab provides aggregate analytics across all evaluated interactions via an embedded dashboard. Use it for weekly and monthly quality reviews.

5.1 Overview KPIs

Four key metrics appear at the top, each with period-over-period comparison:

MetricWhat It Shows
Interactions AuditedTotal processed calls with period-over-period comparison (e.g., 1,242, +12.3%)
Average QA ScoreMean score across all calls in the selected date range
Average Handling TimeMean call duration
Interactions Auto FailedPercentage of calls that triggered an auto-fail

5.2 Available Analytics

ChartWhat It Shows
L1 Contact ReasonBroad reasons customers are calling (max 8 displayed)
L2 Contact ReasonSubcategories within L1 (max 8 displayed)
Top Call Drivers (L3)Most specific reasons for calls (max 8 displayed)
Resolved vs. UnresolvedResolution rates over time
Sentiment AnalysisDistribution of positive, neutral, and negative sentiment
Silence Time %Breakdown of agent talk, customer talk, and dead air
Non-Resolution ReasonsWhy calls are not resolved (L1 and L2)
Agent Quality DistributionAgents grouped by QA score ranges
Agent Performance by ParametersTop 10 agents with per-parameter scores

Click any chart element (bar, data point, segment) to drill down.

5.3 Filters

FilterDescription
Agent dropdownSelect a specific agent or view all
Date range pickerPresets (Today, Yesterday, This Week, Last Month) or custom range

5.4 Reading the Charts

  • Contact Reason charts (L1, L2, L3): Identify which call types dominate your volume and where to focus training.
  • Resolved vs. Unresolved: A rising unresolved rate may indicate process issues, knowledge gaps, or new product problems.
  • Sentiment Analysis: Combine with Agent Quality Distribution to see if low sentiment correlates with specific agents or score ranges.
  • Silence Time %: High dead air percentages may indicate agents struggling to find information or long hold times.
  • Non-Resolution Reasons: When calls are not resolved, these charts show why -- People, Process, Technical, or End User factors.
  • Agent Quality Distribution: Quickly identify how many agents fall below performance thresholds.
  • Agent Performance by Parameters: Identify which specific skills are strong or weak across your top performers.

Last updated: Jul 3, 2026