I think (especially for tech companies) the data driven approach is starting to just feel more comfortable. It is what you are "supposed to do." If you are in tech/data it is easy to sit down at your keyboard and query a database looking for something to support your theory. (Or ask someone else to do this for you). It feels harder to ta…
I think (especially for tech companies) the data driven approach is starting to just feel more comfortable. It is what you are "supposed to do." If you are in tech/data it is easy to sit down at your keyboard and query a database looking for something to support your theory. (Or ask someone else to do this for you). It feels harder to talk to a bunch of customers, record the results, and study and make sense of what they said... AND that also feels less sophisticated like something "anybody" could do.
People want to see predictive models and fancy charts not tabulated customer data manually and try to find signal in a bunch of noise - when a signal might not even exist.
That seems like the rough trend to me, where a kind of clinical, quantitative approach to things became the norm, and we're swinging back away from that now. It feels most apparent in politics, honestly, where we had peak polling and stuff in the Obama years and 2016. Though that stuff is there, there's a drift back towards paying more attention to vibes. A lot of companies seem to be moving in roughly that same direction.
I think (especially for tech companies) the data driven approach is starting to just feel more comfortable. It is what you are "supposed to do." If you are in tech/data it is easy to sit down at your keyboard and query a database looking for something to support your theory. (Or ask someone else to do this for you). It feels harder to talk to a bunch of customers, record the results, and study and make sense of what they said... AND that also feels less sophisticated like something "anybody" could do.
People want to see predictive models and fancy charts not tabulated customer data manually and try to find signal in a bunch of noise - when a signal might not even exist.
That seems like the rough trend to me, where a kind of clinical, quantitative approach to things became the norm, and we're swinging back away from that now. It feels most apparent in politics, honestly, where we had peak polling and stuff in the Obama years and 2016. Though that stuff is there, there's a drift back towards paying more attention to vibes. A lot of companies seem to be moving in roughly that same direction.