Queue depth and average handle time tell you agents were busy — not whether the right conversations reached the right skill at the right moment. This dashboard reframes live chat operations around capacity economics: concurrent chat load per agent, skill-based routing accuracy, abandoned-wait recovery, and after-chat work drag.
| Agent | Skill Group | Current Load | Peak Load | Occupancy | After-Chat Time | Transfer Rate |
|---|---|---|---|---|---|---|
| Sarah Chen | Billing - Tier 2 | 5.8 | 6.2 | 87% | 4.2m | 8.1% |
| Marcus Johnson | Claims - Tier 2 | 5.4 | 5.9 | 84% | 3.8m | 12.3% |
| Priya Patel | Billing - Tier 1 | 4.9 | 5.6 | 82% | 5.1m | 14.7% |
| James Rivera | General Support | 4.7 | 5.3 | 79% | 3.4m | 9.2% |
| Emily Rodriguez | Billing - Tier 2 | 4.6 | 5.1 | 81% | 4.6m | 7.8% |
| David Kim | Claims - Tier 1 | 4.3 | 4.9 | 76% | 4.8m | 13.4% |
| Lisa Thompson | Billing - Tier 1 | 4.2 | 4.8 | 78% | 5.3m | 16.1% |
| Ahmed Hassan | General Support | 4.1 | 4.6 | 74% | 3.7m | 10.2% |