Analytics

Analytics

Track support metrics and optimize your team's performance

Analytics gives you visibility into your support operations, AI performance, and customer satisfaction. Use data to identify trends, spot issues, and improve your service.

Overview

Keva tracks metrics across:

  • Tickets - Volume, resolution times, categories
  • AI Performance - Autonomy success, accuracy, confidence
  • Team - Response times, workload, productivity
  • Customers - Satisfaction, sentiment, retention

Key Features

Core Metrics

MetricDescription
VolumeTickets created per period
Resolution TimeAverage time to solve
First ResponseTime to first reply
AI Resolution Rate% solved without human
CSATCustomer satisfaction score
NPSNet promoter score

Dashboard Overview

The main analytics dashboard shows:

┌─────────────────┬─────────────────┐
│  Today's Stats  │  Trend Graph    │
├─────────────────┼─────────────────┤
│  AI Performance │  Team Activity  │
├─────────────────┴─────────────────┤
│  Recent Tickets by Category       │
└───────────────────────────────────┘

Time Ranges

View data across different periods:

  • Today - Current day activity
  • 7 Days - Week-over-week trends
  • 30 Days - Monthly patterns
  • 90 Days - Quarterly review
  • Custom - Any date range

Filtering

Filter analytics by:

  • Assignee - Specific team member
  • Category - Ticket category
  • Priority - Urgency level
  • Channel - Email, Slack, etc.
  • Tags - Custom tags

AI Insights

Keva provides AI-powered analysis:

  • Trend detection - Unusual patterns
  • Anomaly alerts - Spikes or drops
  • Predictions - Expected volume
  • Recommendations - Suggested improvements

Comparisons

Compare performance:

  • This week vs. last week
  • This month vs. last month
  • Team member vs. team average
  • AI vs. human resolution

Quick Actions

From analytics, you can:

  • Drill into specific tickets
  • Export data to CSV
  • Schedule recurring reports
  • Set up alerts for thresholds
  • Share dashboards with team

Getting Started

  1. Visit Analytics in the sidebar
  2. Review the default dashboard
  3. Adjust the time range
  4. Apply filters as needed
  5. Bookmark useful views