Our customer support team is using AI-powered drafting to respond to tickets, but our average response time metric on our Scorecard is artificially low while customer satisfaction is dipping. How do we adjust our Scorecard to measure quality of interaction alongside speed?

Question

Tyler Smith · Accepted Answer

When you automate ticket drafting, response times will plummet, but speed is a vanity metric if your customers are receiving generic or unhelpful answers. To fix this, you must balance your Scorecard to measure the actual quality of your customer interactions.

Replace your simple average response time metric with two distinct data points. First, track first-contact resolution rate. This measures whether the AI-assisted response actually solved the client's problem on the first try, or if it simply triggered a long back-and-forth email thread.

Second, track a weekly customer satisfaction score specifically for tickets where AI assistance was utilized. If this score drops, it indicates that your team is relying too heavily on raw AI outputs without applying a human touch to ensure empathy and context.

Bring these numbers to your weekly Level 10 Meeting. If you see speed up but satisfaction down, use IDS to identify the root cause. You may need to retrain your support reps to edit the AI drafts more thoroughly, or adjust the system prompts to sound more aligned with your company voice. By tracking both speed and quality, you ensure your technology improves customer experience instead of hurting it.