What is the Value of Experimentation and Measurement?: Quantifying the Value and Risk of Reducing Uncertainty to Make Better Decisions

被引:5
|
作者
Liu, C. H. Bryan [1 ,2 ]
Chamberlain, Benjamin Paul [3 ]
McCoy, Emma J. [4 ]
机构
[1] Imperial Coll London, London, England
[2] ASOS Com, London, England
[3] Twitter Inc, London, England
[4] Imperial Coll London, London, England
基金
英国工程与自然科学研究理事会;
关键词
Experimentation; Measurement; Controlled experiment; A; B testing; Ranking under uncertainty; Valuation;
D O I
10.1007/s41019-020-00121-5
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Experimentation and Measurement (E&M) capabilities allow organizations to accurately assess the impact of new propositions and to experiment with many variants of existing products. However, until now, the question of measuring the measurer, or valuing the contribution of an E&M capability to organizational success has not been addressed. We tackle this problem by analyzing how, by decreasing estimation uncertainty, E&M platforms allow for better prioritization. We quantify this benefit in terms of expected relative improvement in the performance of all new propositions and provide guidance for how much an E&M capability is worth and when organizations should invest in one.
引用
收藏
页码:152 / 167
页数:16
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