🚀 DevCycle is Now Part of Dynatrace! [Learn more](https://blog.devcycle.com/devcycle-is-now-part-of-dynatrace/) # Release, Experiment, and Iterate on Any Feature. Release with confidence, experiment easily, and iterate based on data. ## Experiment on Any Feature and Choose Winners Faster **Run Experiments Anywhere** Run experiments on any platform - web, mobile, and server-side.](https://docs.devcycle.com/platform/experimentation/feature-experimentation/) **Measure Anything** Connect any event or metric to measure conversions and application performance all in one place.](https://docs.devcycle.com/platform/experimentation/creating-and-managing-metrics/) **Granular Rollout Control** Have precise control over how experiments are run with gradual, scheduled and multi-step rollouts.](https://docs.devcycle.com/platform/feature-flags/targeting/rollouts#rollouts) **Reduce Reliance on Engineering** Run or make changes to experiments without extra development work.](https://docs.devcycle.com/platform/feature-flags/variables-and-variations/variations) ## Run Experiments Anywhere ## Cross-Platform Experimentation DevCycle makes it easy to put any feature behind a flag and run an experiment on it across all platforms, environments and connected devices. ## Comprehensive Experimentation Platform DevCycle supports A/B testing, multivariate testing, user experience and conversion funnel tests. Engineers can also run server-side, algorithm, architecture and database query tests. ## Beta Feature Opt-Ins Product managers can conduct qualitative testing through beta feature opt-in programs, allowing a select audience to try new features before they are released to all users. [Learn More](https://docs.devcycle.com/platform/experimentation/feature-experimentation/) [Start Experimenting](https://app.devcycle.com/login) ## Track and Measure Success Across Multiple Experiments ## Custom Metrics and KPIs Create and track custom metrics tied to your key KPIs across multiple environments and platforms. ## Bring Your Own Data DevCycle integrates seamlessly with your existing data platform, such as Snowflake, allowing you to track experimentation results. ## Export Experiment Results Use our API to export experiment results and configurations to your data platforms and analytics tools, or set up an ETL or Snowflake Data Share to link DevCycle's raw data to yours for custom analysis. [Learn More](https://docs.devcycle.com/platform/experimentation/creating-and-managing-metrics) [Start Experimenting](https://app.devcycle.com/login) ## Granular Control Over Experimentation and Rollouts With flexible targeting rules and options for gradual, scheduled, and multi-step rollouts, you can achieve precise control over user experiments across any platform. ## Advanced Targeting DevCycle's granular targeting rules allow precise experimentation on different audience segments and feature variations. ## Scheduled Rollouts Scheduled, percentage-based and multi-step rollouts let teams automate experiments and feature launches. [Learn More](https://docs.devcycle.com/platform/feature-flags/targeting/rollouts#rollouts) [Start Experimenting](https://app.devcycle.com/login) ## Reduce Reliance on Engineering ## Reusable App Components Run an unlimited amount of experiments on pre-built components of your app or site. ## Variable Schemas With pre-built guardrails, product managers can run experiments and rollout features safely without worrying about breaking production apps. ## Realtime Updates Product Managers can instantly launch, modify, or disable experiments without requiring end users to refresh their page, update their application, or deploy new code. [Learn More](https://docs.devcycle.com/platform/security-and-guardrails/variable-schemas) [Start Experimenting](https://docs.devcycle.com/platform/security-and-guardrails/feature-obfuscation/) ## Experimentation FAQs Everything you need to know about running experiments, A/B tests, and measuring success with DevCycle. What is experimentation in feature management?+ How does DevCycle support experimentation?+ What types of experiments can I run?+ How do I measure the success of an experiment?+ Can I integrate DevCycle experimentation with my data platform?+ How do I set up an A/B test in DevCycle?+ What are the benefits of running experiments with feature flags?+ Can I run experiments on both frontend and backend features?+ How do I ensure my experiments are statistically significant?+ Can I run multiple experiments at once?+