标题： 跷跷板实验：具有溢出效应的A/B测试 显示英文标题

标题： Seesaw Experimentation: A/B Tests with Spillovers

摘要： 本文研究了企业绩效为何可能下降，尽管持续实施成功的A/B测试创新——我们称这一现象为“跷跷板实验”。 虽然这些创新改善了衡量的主要维度，但在未衡量的次要维度上产生了超过收益的负面外部效应。 使用多元正态分布模型，我们确定了这种下降的条件，并提出了积极的门槛率作为解决方案。 我们的分析展示了如何设置最优门槛率以最大程度地缓解这些负面外部效应，并通过演示这些率应如何随基础参数变化，为实验设计提供了实用指导。 显示英文摘要

摘要： This paper examines how a firm's performance can decline despite consistently implementing successful A/B test innovations -- a phenomenon we term "seesaw experimentation." While these innovations improve the measured primary dimension, they create negative externalities in unmeasured secondary dimensions that exceed the gains. Using a multivariate normal distribution model, we identify the conditions for this decline and propose positive hurdle rates as a solution. Our analysis shows how to set optimal hurdle rates to best mitigate these negative externalities and provides practical guidance for experimental design by demonstrating how these rates should vary with underlying parameters.