Are we measuring AI agents by completed tasks when we should be measuring actual outcomes?

Reddit r/AI_Agents News

Summary

作者质疑当前用任务完成率来衡量AI agent表现的做法,指出即使agent成功关闭了大量工单,也可能因未真正解决问题而导致客户体验下降。文章探讨应如何转向衡量下游业务结果、修正率和客户满意度等更实际的指标。

An AI agent can successfully complete every step in a workflow and still produce a bad business outcome. Imagine an agent responding to 100 customer support tickets. It closes 95 of them without human involvement. Sounds impressive. But what if 20 customers reopen their tickets because the responses didn't actually solve anything? The automation metric looks great. The customer experience doesn't. I'm curious how people are measuring agent performance beyond task completion. Are you tracking downstream outcomes, corrections, customer satisfaction, or something else? What metric has been most useful in practice?
Original Article

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