Proposes an optimal blending framework for proxy and north star metrics in online A/B testing that adjusts decision weights based on statistical power and proxy quality.
In: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Blending Proxy Metrics with a North Star
Proposes an optimal blending framework for proxy and north star metrics in online A/B testing that adjusts decision weights based on statistical power and proxy quality.