Optimizely Enhances Free Feature Flagging Plan with Experimentation, Targeted Rollouts

Optimizely Enhances Free Feature Flagging Plan with Experimentation, Targeted Rollouts

Optimizely, the world’s leader in progressive delivery and experimentation, announced that its free feature flagging plan for development teams, Rollouts, now also includes A/B testing and feature configuration. This more comprehensive solution continues to be available as the free tier in Optimizely’s enterprise Full Stack platform. With the new, enhanced Rollouts plan, teams have a single set of development tools at their fingertips combining feature flags and Optimizely’s industry-leading experimentation capabilities to build, iterate, and ship new features safely, quickly, and with confidence to meet customer experience and business metrics.

Read More: 6 Reasons Why You Should Market Your Business During This Covid-19 Crisis

Demonstrate Value, Not Just Velocity, with Experimentation
Smarter software delivery isn’t just about reducing risk, it’s also about delivering value. Rollouts users can now run an experiment on a feature flag to measure the impact of an update or change. With more than 1 million experiments run on Optimizely’s platform, Rollouts users benefit from an easy-to-use, end-to-end dashboard that guarantees test integrity and supports accurate results analysis to inform product development and business decisions. Using feature configuration, product development teams can include variables in their code that can be parameterized and remotely configured from the Optimizely dashboard without redeploying code. By instrumenting variables upfront when coding a feature, teams test permutations of the feature without having to redeploy or write new code. Powered by the integrated Optimizely Stats Engine, Rollouts includes real-time data streaming and analytics of experiments to further inform the product build process and launch.

“The enhanced Optimizely Rollouts plan enables development teams to easily use data to launch the products that customers want,” said Lawrence Bruhmuller, CTO at Optimizely. “Marrying progressive delivery and experimentation is the best approach for product and engineering teams to validate product quality and customer engagement. Developers have never been more important to a company’s success, and today we’re giving them an even more powerful way to work productively and drive business value.”

Read More: Databricks Makes Inc. Magazine’s 2020 List Of Best Workplaces

Write in to psen@itechseries.com to learn more about our exclusive editorial packages and programs.