I am currently addressing the user acquisition problem for the new app I am working on, and your article provided me with valuable insights. Thank you so much!
No silver bullet solution, honestly. I try to point out "skills growth" is the real goal, not "title growth" or "rating growth". For some people, this reminder works well; for others, it falls flat. I adjust my time spend in future accordingly when it comes to help people. :)
Great insights! I mean that - you gave me a lot to think about.
Regarding post-data phase: how do you think about intuition during that phase?
I feel like some products chase the metrics too much post launch. How should one balance "Iterate, based on the data" with intuition based decisions once you do have data?
Yeah I agree that chasing wrong metric will lead to problems no matter what. There's a saying "strategy determines metrics, not the other way around". To fully answer your question, it needs a long article by its own right, but in short, all metrics are by definition proxy, and need to constantly re-evaluate how close the current proxy metric reflects true north star. In other words, "respect data", does not mean "respect proxy metric".
The team needs to have metrics that align with strategy and help guide ongoing decisions. The team also needs to periodically re-assess strategy and related metrics.
I am currently addressing the user acquisition problem for the new app I am working on, and your article provided me with valuable insights. Thank you so much!
Glad to hear this helped. :)
“Meta has an everyone-is-scared-of-performance-review culture.” I’m curious about how you coach people when you hear about this?
No silver bullet solution, honestly. I try to point out "skills growth" is the real goal, not "title growth" or "rating growth". For some people, this reminder works well; for others, it falls flat. I adjust my time spend in future accordingly when it comes to help people. :)
Not sure if this is a satisfactory enough answer?
Great insights! I mean that - you gave me a lot to think about.
Regarding post-data phase: how do you think about intuition during that phase?
I feel like some products chase the metrics too much post launch. How should one balance "Iterate, based on the data" with intuition based decisions once you do have data?
Yeah I agree that chasing wrong metric will lead to problems no matter what. There's a saying "strategy determines metrics, not the other way around". To fully answer your question, it needs a long article by its own right, but in short, all metrics are by definition proxy, and need to constantly re-evaluate how close the current proxy metric reflects true north star. In other words, "respect data", does not mean "respect proxy metric".
Does this make sense?
Yup, agreed!
The team needs to have metrics that align with strategy and help guide ongoing decisions. The team also needs to periodically re-assess strategy and related metrics.