– Collect user errors
– Normalize & De-duplicate
– Cluster similar errors
– Measure User Impact
– Handle Script Error

When it comes to error handling, it truly is a team sport

We see in the data that the presence of certain errors lead to actions of user frustration that have bottom line implications for the business serving the site. The two most prominent cases of this are reloads and abandonwments (page exits).”
Why? Because this is pretty hard to “understand” that the page exit or the reload in the SR.
Indeed, we just see the error at the very last second and boom, finish (or next replay start in case of reload)