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Online Experimentation at Microsoft 
By Ronny Kohavi, Thomas Crook, and Roger Longbotham
 
 
Talk at Seattle Tech Startups Sept 9, 2009: PPTX, PDF, video (46 minutes)
 
Abstract
 

Knowledge Discovery and Data Mining techniques are now commonly used to find novel, potentially useful, patterns in data (Fayyad, et al., 1996; Chapman, et al., 2000). Most KDD applications involve post-hoc analysis of data and are therefore mostly limited to the identification of correlations. Recent seminal work on Quasi-Experimental Designs (Jensen, et al., 2008) attempts to identify causal relationships. Controlled experiments are a standard technique used in multiple fields. Through randomization and proper design, experiments allow establishing causality scientifically, which is why they are the gold standard in drug tests. In software development, multiple techniques are used to define product requirements; controlled experiments provide a way to assess the impact of new features on customer behavior.  The Data Mining Case Studies workshop calls for describing completed implementations related to data mining. Over the last three years, we built an experimentation platform system (ExP) at Microsoft, capable of running and analyzing controlled experiments on web sites and services. The goal is to accelerate innovation through trustworthy experimentation and to enable a more scientific approach to planning and prioritization of features and designs (Foley, 2008).  Along the way, we ran many experiments on over a dozen Microsoft properties and had to tackle both technical and cultural challenges. We previously surveyed the literature on controlled experiments and shared technical challenges (Kohavi, et al., 2009).  This paper focuses on problems not commonly addressed in technical papers: cultural challenges, lessons, and the ROI of running controlled experiments.  

 
What others are saying

 

... if you have not seen it, the paper "Online Experimentation at Microsoft" that was presented at a workshop at KDD 2009 has great tales of experimentation woe at the Redmond giant. Section 7 on "Cultural Challenges" particularly is worth a read.