Ai Scorecard Example
Grade by Ai
Draft
English
Questions
Ai Question #3
1.
2.
An improved LLM now powers AI questions for better accuracy. Only use trigger words for exact transcript matches.
Meeting Insights
00:02 - Welcome
00:10 - Confirm Evan's account
01:20 - Problem with Evan's Fitbit
04:26 - Try restarting
06:19 - Reset to factory settings
09:29 - Agent to follow up with team
4 hidden messages
11:32 - Anything else?
Explore this conversation
Did the agent greet the customer?10pts
Yes
No
Did the agent confirm the account information?10pts
Yes
No
Did the agent properly confirm the identity of the user?10pts
Yes
No
How was the agent’s understanding of the issue/request?10pts
Excellent
Good
Fair
Poor
Very poor
Did the agent attempt to find a workaround or troubleshoot with the user?10pts
Good
Excellent
Fair
Poor
Very poor
Did the agent ask to put the customer on hold?10pts
No
Yes
Did the agent provide a call closing statement?10pts
Yes
No
Teams & Groups
BetaQA scorecard metrics for teams, groups, and departments.
All Groups
90%4% vs prev 30 days
Average grade
Calls graded
| Teams & Groups | Average grade | % change | Calls graded |
|---|---|---|---|
| Mobile Support | 96% | 4% | 341 |
| OberConference Support | 95% | 3% | 242 |
| Conagra Support | 94% | 6% | 88 |
| Grand Rapids Call Center | 94% | 2% | 179 |
| Emergency Call Line | 93% | 2% | 258 |
| Calpine Call Center | 93% | 11% | 431 |
| NRG Support | 92% | 8% | 266 |