2007 Experimentation Testing 
Occam's Razor
AUGUST 22, 2011
The Awesome Power of Visualization 2 -> Death and Taxes 2007. Five Reasons And Awesome Testing Ideas. Lab Usability Testing: What, Why, How Much. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Interviewing Tip: Stress Test Critical Thinking.
Occam's Razor
APRIL 8, 2013
Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. Identify, hypothesize, test, react. But at the same time, they had to have a real test of an actual feature. You don’t need a beautiful beast to go out and test.
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Occam's Razor
SEPTEMBER 19, 2011
Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. So for variation #3, no catalogs or email were sent to the customers in the test group. The nice thing is that you can also test that!
The Unofficial Google Data Science Blog
APRIL 23, 2024
To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.
The Unofficial Google Data Science Blog
JULY 22, 2020
Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.
CIO Business Intelligence
AUGUST 4, 2023
Our products are sometimes tested for a year before being launched in the field. What are some of the steps that you are taking to foster a culture of innovation and experimentation amongst the employees and customers, and encourage them to move towards digital transformation in in their work?
The Unofficial Google Data Science Blog
OCTOBER 7, 2015
A/B testing is used widely in information technology companies to guide product development and improvements. For questions as disparate as website design and UI, prediction algorithms, or user flows within apps, live traffic tests help developers understand what works well for users and the business, and what doesn’t.
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