Draftera Handoff Analytics
Your team spent 0.0 hours this month untangling failed AI handoffs.
Zero PII Stored. Message bodies incinerated at the edge.
Total Escalations
The total number of bot conversations that required a human agent.
252
Avg. Agent Catch-Up Time
The average time a human agent spends reading the bot transcript before replying.
06:15
Worst Catch-Up Time
The single longest delay in this period, highlighting a severe bot loop.
The Efficiency Frontier
Effort (bot messages) vs. agent catch-up time. Ideal handoffs cluster low on both axes.
💡 Primary Friction Point: The General category shows the highest average agent catch-up time. We suggest reviewing bot handoff summaries for these specific intents.
The Friction Log
Top five tickets by agent catch-up time.
| Ticket ID | Category | Bot Messages | Insights & Actions | |
|---|---|---|---|---|
| 280915 | bug | 5 | 14.9 | Knowledge GapThe bot lacked information. Action: Add a Knowledge Base article for this intent. |
| 869035 | support | 7 | 14.9 | Over-InterrogationThe bot asked too many questions. Action: Create a bypass rule to route this intent directly to a human. |
| 996740 | general | 12 | 14.8 | Over-InterrogationThe bot asked too many questions. Action: Create a bypass rule to route this intent directly to a human. |
| 484242 | technical | 1 | 14.8 | Knowledge GapThe bot lacked information. Action: Add a Knowledge Base article for this intent. |
| 475142 | general | 2 | 14.7 | Knowledge GapThe bot lacked information. Action: Add a Knowledge Base article for this intent. |