>Today's customer support zeitgeist is utterly opposed to this idea. I agree that it's the correct response, but support's goal — that is, the metric which they are apparently measured by, in nearly every case I've seen is, is to close the ticket as fast as possible.
First, I can't believe its taken me this long to start italicizing when I quote somebody. I'm going to do that for all future quotations.
Second, I can't easily imagine a better illustration of Goodhart's law than this. I can certainly see how they got to "average time to close", even though obviously the important metric is "how many customers eventually reached a satisfactory conclusion". Its just that its hard to answer that without bugging a bunch of people, reminding them of that time when the product shit the bed and they had to call support.
And "time to close" is not a bad metric, but it can't be the only metric. This reminds me of something that seems like a corollary of Goodhart's law: the easier it is to measure something, the less likely it is to be useful as a metric.
First, I can't believe its taken me this long to start italicizing when I quote somebody. I'm going to do that for all future quotations.
Second, I can't easily imagine a better illustration of Goodhart's law than this. I can certainly see how they got to "average time to close", even though obviously the important metric is "how many customers eventually reached a satisfactory conclusion". Its just that its hard to answer that without bugging a bunch of people, reminding them of that time when the product shit the bed and they had to call support.
And "time to close" is not a bad metric, but it can't be the only metric. This reminds me of something that seems like a corollary of Goodhart's law: the easier it is to measure something, the less likely it is to be useful as a metric.