How do you wrestle with the importance of being data-driven/tracking progress for community health <> not potentially run the mistake of optimizing for the wrong thing in community ?

Seen this dynamic a few times, curious if anyone has any opinions.

cofounder @DeepALTR (acq. by Commsor).   building better cultures>>better communities>>better outcomes  https://twitter.com/ngaurav38  community x crypto x saas

Product Manager & web3 explorer! @purple #56. twitter.com/dbdogan

Ever feel like you're in a situation where the 1on1 sentiment says one thing,but the overall trends says another? 

For ex., w product where a user says they like "x", but analytics data says the opposite. 

Curious w how to deal w something similar but in managing community.

I never really liked the word "data-driven". I rather always say "data-informed" because at the end of the day, data suggestes something, but I always talked to users to dig deeper and find out what they think and if it's really worth the time to optimize it.

marketing lead @rainbow, hanging out @ internet

gotcha, so sort of taking intuitive conclusions from information/data & getting community-approval or sentiment before implementing? 

Let me know if my assumption was off, want to make sure I get what you mean haha.

I think it comes down to talking to your community about it — along the lines of “hey guys, we’re seeing a lot of activity in X and would love to support it”.

They might not get it 100%, but they’ll tell you whether it’s worth optimizing in their own words.