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The better tools you have in your experimentation toolkit, the better off teams will be shipping and evaluating new features on a product. Learn how to create robust A/B testing strategies that evolve with your product and engineering needs. See how to run experiments quickly, efficiently, and at less cost with the overarching goal of improving your product experience and your company's bottom line.
The long-term success of any product hinges on a company's ability to experiment quickly and effectively. The more a company evolves and grows, the more demand there is on the experimentation platform. To continue to meet testing demands and empower teams to leverage A/B testing in their product development life cycle, it's vital to incorporate techniques to improve testing velocity, cost, and quality.
Learn how to create an A/B testing environment for the long term that lets you quickly construct, run, and analyze tests and enables the business to explore and exploit new features in a cost-effective and controlled way. Know when to use techniques-stratified random sampling, interleaving, and metric sensitivity analysis-that let you work faster, more accurately, and more cost-effectively. With practical strategies and hands-on engineering tasks oriented around improving the rate and quality of testing on a product, you can apply what you've learned to optimize your experimentation practices.
A/B testing is vital to product development. It's time to create the tools and environment that let you run these tests easily, affordably, and reliably.
The long-term success of any product hinges on a company's ability to experiment quickly and effectively. The more a company evolves and grows, the more demand there is on the experimentation platform. To continue to meet testing demands and empower teams to leverage A/B testing in their product development life cycle, it's vital to incorporate techniques to improve testing velocity, cost, and quality.
Learn how to create an A/B testing environment for the long term that lets you quickly construct, run, and analyze tests and enables the business to explore and exploit new features in a cost-effective and controlled way. Know when to use techniques-stratified random sampling, interleaving, and metric sensitivity analysis-that let you work faster, more accurately, and more cost-effectively. With practical strategies and hands-on engineering tasks oriented around improving the rate and quality of testing on a product, you can apply what you've learned to optimize your experimentation practices.
A/B testing is vital to product development. It's time to create the tools and environment that let you run these tests easily, affordably, and reliably.