Has anyone seen a great product for “root cause analysis”? (understanding why a metric has suddenly fallen 5%, or why variant A of an experiment is outperforming variant B etc).
I understand that it is a hard problem to solve with a lot of variables but I want to know what are the available state of art tools. Thank you!
But seriously, Amplitude just released their beta feature called Root Cause Analysis. It works only for anomalies now (when there is an unexpected spike or a data gap). It scans the anomaly across all other available events and properties to help you locate the pattern, or a cause.
I have used SISU and there were a few challenges we faced:
It requires careful thought process on input variables. Similar to what Ankit mentioned, you need to rely on a bit of intuition on variables that could’ve possibly impacted the KPIs
Redundant output. Making it up let’s say - CVR was impacted due to steep CVR drop among 1. Males x Texas and 2. Males