A lot of big companies need to gradually introduce a new feature to an audience while also seeing how that feature impacts their metrics. If they go with just feature flagging, they have to build their own logging and analysis. But if they go with experiments, then they're overly constrained by that analysis since experiments are meant to be statistically rigorous.
It's a tricky problem which I think statsig solved with "pulse metrics" and "feature gates".
A lot of big companies need to gradually introduce a new feature to an audience while also seeing how that feature impacts their metrics. If they go with just feature flagging, they have to build their own logging and analysis. But if they go with experiments, then they're overly constrained by that analysis since experiments are meant to be statistically rigorous.
It's a tricky problem which I think statsig solved with "pulse metrics" and "feature gates".