What problems is Statsig solving and how is that benefiting you?
Statsig gives us one single place to run, read and analyze experiments, which solves some big problems:
- Speed - we now have much clearer readouts thanks to the ability to breakdown metrics in valuable segments within the same tool and without needing to have SQL skills, now product-teams can move from launch to decision faster.
- Trust- Consistent metrics (which could be better handled in the tool) and diagnostics reduce the usual questions about results being real. It also allows making results comparable across teams over time
-Scale - the collaboration model between Product Teams -> Experimentation Hub <-> Statsig allows for more concurrent tests being supported and Statsig is quick to ship improvements based on our feedback
The benefit for Product Analytics is: clearer reads on domain main. KPIs, fewer bespoke analyses (meaning more time for analysts to focus on more complex, higher value analysis), and faster, safer iteration on features that improve our customer experiences Review collected by and hosted on G2.com.