Book contents
- Trustworthy Online Controlled Experiments
- Reviews
- Trustworthy Online Controlled Experiments
- Copyright page
- Contents
- Preface
- Acknowledgments
- Part I Introductory Topics for Everyone
- Part II Selected Topics for Everyone
- 5 Speed Matters
- 6 Organizational Metrics
- 7 Metrics for Experimentation and the Overall Evaluation Criterion
- 8 Institutional Memory and Meta-Analysis
- 9 Ethics in Controlled Experiments
- Part III Complementary and Alternative Techniques to Controlled Experiments
- Part IV Advanced Topics for Building an Experimentation Platform
- Part V Advanced Topics for Analyzing Experiments
- References
- Index
5 - Speed Matters
An End-to-End Case Study
from Part II - Selected Topics for Everyone
Published online by Cambridge University Press: 13 March 2020
- Trustworthy Online Controlled Experiments
- Reviews
- Trustworthy Online Controlled Experiments
- Copyright page
- Contents
- Preface
- Acknowledgments
- Part I Introductory Topics for Everyone
- Part II Selected Topics for Everyone
- 5 Speed Matters
- 6 Organizational Metrics
- 7 Metrics for Experimentation and the Overall Evaluation Criterion
- 8 Institutional Memory and Meta-Analysis
- 9 Ethics in Controlled Experiments
- Part III Complementary and Alternative Techniques to Controlled Experiments
- Part IV Advanced Topics for Building an Experimentation Platform
- Part V Advanced Topics for Analyzing Experiments
- References
- Index
Summary
Why you care: We begin with an end-to-end example of the design (with explicit assumptions), execution, and interpretation of an experiment to assess the importance of speed. Many examples of experiments focus on the User Interface (UI) because it is easy to show examples, but there are many breakthroughs on the back-end side, and as multiple companies discovered: speed matters a lot! Of course, faster is better, but how important is it to improve performance by a tenth of a second? Should you have a person focused on performance? Maybe a team of five? The return-on-investment (ROI) of such efforts can be quantified by running a simple slowdown experiment. In 2017, every tenth of a second improvement for Bing was worth $18 million in incremental annual revenue, enough to fund a sizable team. Based on these results and multiple replications at several companies through the years, we recommend using latency as a guardrail metric.
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- Information
- Trustworthy Online Controlled ExperimentsA Practical Guide to A/B Testing, pp. 81 - 89Publisher: Cambridge University PressPrint publication year: 2020
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