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构建缺陷较小的指标:理解和创建更好的测量和激励系统
1Technion - Israel Institute of Technology, Haifa, Israel.
Patterns (New York, N.Y.)
|October 25, 2023
概括
设计有效的指标需要仔细考虑,以避免意外后果. 本研究概述了创建与目标保持一致的强大指标的策略,并防止在学术和公共系统中进行游戏.
科学领域:
- 系统分析 系统分析
- 行为科学是一种行为科学.
- 政策设计 政策设计
背景情况:
- 衡量指标被广泛用于学术界,政策,医学和商业界,以衡量绩效和指导行为.
- 然而,对指标的简单应用可能会导致系统扭曲和目标颠覆.
- 应对这些挑战对于有效的系统管理和动机至关重要.
研究的目的:
- 讨论指标的设计,重点关注两个关键问题:指定与目标一致的可评估指标,并最大限度地减少不良影响.
- 提出减轻意外后果和奖励系统"游戏"的策略.
- 提供一个全面的流程,将这些考虑纳入计量设计.
主要方法:
- 该视角讨论了设计考虑和创建指标的过程.
- 它提出了减轻有害影响的具体策略,如保密,随机化和多样化.
- 该研究还检查了重要的需求数据,权衡和补充方法.
主要成果:
- 纯粹的计量应用可以扭曲系统并破坏最初的目标.
- 尽量减少有害影响和防止游戏是衡量设计的关键,但往往被忽视的方面.
- 提出了一个综合设计考虑和缓解策略的综合过程.
结论:
- 有效的度量设计必须解决目标对齐和防止意外后果.
- 诸如保密,随机化和多元化等策略可以帮助减轻不良影响.
- 整体方法对于开发可靠地满足其预期目的的指标至关重要.
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