Our lowest NPS scores came from customers who got the fastest support replies.

We correelated customer satisfaction (NPS) scores with support response times over 12 months.

Average first-response time: 14 minutes

NPS for tickets resolved in under 2 minutes (via AI/Bot): 3.1 / 10

NPS for tickets resolved in 30 minutes (via Human Specialist): 8.8 / 10

Speed was our support team's primary KPI. We automated 60% of responses to hit instantaneous response times. Open rates on support closing emails were 90%. They were also followed by the largest wave of negative review spikes of the year. Customers were getting instant answers and immediately marking us down.

When we listened to the feedback, the low scores were concentrated in users facing complex technical blockers. An instant bot response wasn't solving their issue—it was making them feel dismissed. The speed was reminding them they were talking to an algorithm, not a partner. It was not creating efficiency. It was automating frustration, at scale.

We added a human-in-the-loop triage system that routed complex queries away from bots before sending a reply. Fast-reply negative scores dropped 42%, and overall resolution satisfaction climbed to 92%.

What efficiency metric are you optimizing for that is actually degrading your customer experience?