| Description |
1 online resource (1 streaming video file (1 hr., 16 min., 49 sec.)) : digital, sound, color |
| Note |
Title from title screen (viewed October 20, 2015). |
|
Date of publication from resource description page. |
| Performer |
Presenter, Lisa Qian. |
| Summary |
"Deciding whether or not to launch a new product or feature is a resource management bet for any Internet business. Conducting rigorous online A/B tests flattens the risk. Drawing on her experience at Airbnb, data scientist Lisa Qian offers a practical ten-step guide to designing and executing statistically sound A/B tests. Discover best practices for defining test goals and hypotheses; Learn to identify controls, treatments, key metrics, and data collection needs; Understand the role of appropriate logging in data collection; Determine how to frame your tests (size of difference detection, visitor sample size, etc.); Master the importance of testing for systematic biases; Run power tests to determine how much data to collect; Learn how experimenting on logged out users can introduce bias; Understand when cannibalization is an issue and how to deal with it; Review accepted A/B testing tools (Google Analytics, Vanity, Unbounce, among others)."--Resource description page. |
| Subject |
Web sites -- Testing.
|
|
User-centered system design.
|
|
Internet marketing.
|
|
Conception participative (Conception de systèmes) |
|
Marketing sur Internet. |
|
Internet marketing. |
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User-centered system design. |
| Added Title |
Introduction to data and statistics for improved U/X |
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