Agent Performance
Track individual and team metrics to optimize support operations.
Agent Metrics
Volume Metrics
| Metric | Description |
|---|---|
| Tickets Assigned | Tickets routed to agent |
| Tickets Handled | Tickets agent worked on |
| Tickets Resolved | Tickets agent resolved |
| Replies Sent | Total responses sent |
Time Metrics
| Metric | Description |
|---|---|
| Avg. First Response | Mean time to first reply |
| Avg. Response Time | Mean time for all replies |
| Avg. Resolution Time | Mean time to resolve |
| Avg. Handle Time | Time spent on ticket |
Quality Metrics
| Metric | Description |
|---|---|
| CSAT Score | Customer satisfaction rating |
| SLA Achievement | % of tickets within SLA |
| One-Touch Rate | % resolved with single reply |
| Reopen Rate | % of tickets reopened |
Agent Leaderboard
Viewing the Leaderboard
- Go to Analytics → Agents
- View ranked agent list
- Sort by any metric
- Filter by team or time period
Leaderboard Columns
- Agent name
- Tickets handled
- Avg. response time
- Resolution rate
- CSAT score
- SLA achievement
Sorting Options
Click column headers to rank by:
- Most tickets (volume leaders)
- Fastest response (speed leaders)
- Highest CSAT (quality leaders)
Individual Agent View
Accessing Agent Details
Click any agent name to see detailed stats.
Overview Section
- Current open tickets
- Tickets today/this week/this month
- Average metrics
Performance Charts
- Volume over time
- Response time trend
- CSAT trend
- Resolution time trend
Ticket Breakdown
- By status
- By priority
- By channel
- By category
Team Comparison
Comparing Agents
Select multiple agents to compare:
- Side-by-side metrics
- Overlaid trend charts
- Identify differences
Team Averages
See how individuals compare to team:
- Above average (green)
- Below average (red)
- At average (gray)
Workload Balance
View ticket distribution:
- Even distribution = balanced
- Uneven = some agents overloaded
Performance Insights
Identifying Top Performers
Look for agents with:
- High volume + fast response
- High CSAT + high volume
- Low reopen rate
Identifying Struggles
Look for agents with:
- Slow response times
- Low CSAT scores
- High reopen rates
- SLA breaches
Coaching Opportunities
Use data to identify:
- Training needs
- Knowledge gaps
- Process improvements
Activity Tracking
Online/Offline Status
See agent availability:
- Currently online
- Last active time
- Time logged in today
Activity Log
View agent actions:
- Replies sent
- Status changes
- Assignments
- Notes added
Productivity Patterns
Understand work patterns:
- Peak productivity hours
- Response time by time of day
- Volume handled by day of week
Goals and Targets
Setting Agent Goals
Define targets for:
- Tickets per day/week
- Response time targets
- CSAT minimums
- SLA achievement
Tracking Progress
Visual indicators show:
- On track (green)
- At risk (yellow)
- Behind (red)
Goal Reports
Weekly/monthly reports on:
- Goal achievement
- Progress over time
- Comparison to peers
Reports
Agent Performance Report
Comprehensive individual report:
- All metrics for selected period
- Trends over time
- Comparison to team averages
Team Report
Aggregate team metrics:
- Total volume
- Team averages
- Distribution charts
Scheduled Reports
Automate delivery:
- Weekly performance summaries
- Monthly reviews
- Quarterly assessments
Privacy and Fairness
What Agents See
Agents can view:
- Their own metrics
- Team aggregates (if enabled)
- Goals and targets
What Managers See
Managers can view:
- All agent metrics
- Individual details
- Comparison data
Fair Evaluation
Consider when evaluating:
- Ticket complexity varies
- Some channels are harder
- New agents need ramp time
- Quality over quantity
Using Performance Data
One-on-Ones
Review with each agent:
- Recent performance
- Trends
- Areas for growth
- Recognition
Team Meetings
Share with team:
- Team metrics
- Top performers
- Improvement areas
- Goals
Hiring Decisions
Use data to understand:
- Current capacity
- When to hire
- Skill gaps
Process Improvement
Identify patterns:
- What makes top performers successful?
- What slows down resolution?
- Where do SLAs breach?
Best Practices
Context Matters
Numbers alone don't tell the story:
- Hard tickets take longer
- VIP customers need more care
- Quality beats speed
Regular Reviews
Review performance:
- Weekly for operational awareness
- Monthly for coaching
- Quarterly for formal reviews
Balanced Metrics
Don't optimize for single metric:
- Fast but low quality = bad
- High volume but burned out = bad
- Balance speed, quality, sustainability