As I understood it, the idea is that analytics are the wrong answer, or rather, if they are an answer, at all, you're asking the wrong questions. Which I, in turn, interpret as a signal for more opinionated approaches.
(Meaning, if you follow these kind of metrics closely, you may actually miss crucial opportunities, as these will always bind you to the perceived mainstream. Moreover, these analytics are still sparse and there may be hidden variables. E.g, you may have changed something in January, but what happened else in January, elsewhere, which may have had some impact? Finally, these metrics are always about intermediate goals and partial results, but never about the entire product or mission. Metrics for these are found elsewhere.)
Disclaimer: I abandoned all analytics for my own projects some years ago, and I do not miss anything. So I may be somewhat sympathetic to this.
(Meaning, if you follow these kind of metrics closely, you may actually miss crucial opportunities, as these will always bind you to the perceived mainstream. Moreover, these analytics are still sparse and there may be hidden variables. E.g, you may have changed something in January, but what happened else in January, elsewhere, which may have had some impact? Finally, these metrics are always about intermediate goals and partial results, but never about the entire product or mission. Metrics for these are found elsewhere.)
Disclaimer: I abandoned all analytics for my own projects some years ago, and I do not miss anything. So I may be somewhat sympathetic to this.