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Introduction to Toggly

Toggly is a comprehensive feature flags and experimentation platform that enables teams to release software faster, safer, and with better results. With Toggly, you can control feature rollouts, run experiments, measure impact, and make data-driven decisions—all without redeploying your application.

What is Toggly?​

Toggly is a feature management service that provides:

  • Feature Flags: Turn features on or off instantly, without code deployments
  • Experiments: Run A/B tests and multivariate experiments to validate hypotheses
  • Metrics & Analytics: Track feature usage and business metrics in real-time
  • Targeting & Segments: Roll out features to specific user groups or conditions
  • Anomaly Detection: Automatically detect unusual patterns in your metrics
  • Enterprise Features: SSO,
    SCIM,
    fine-grained permissions, and audit logs

Key Concepts​

Feature Flags​

Feature flags (also called feature toggles) allow you to control the visibility and behavior of features in your application. You can enable or disable features for all users, specific segments, or based on complex targeting rules—all from the Toggly dashboard.

Environments​

Toggly supports multiple environments (development, staging, production) so you can test features safely before rolling them out to production. Each environment maintains its own feature flag configurations.

Segments & Targeting​

Create user segments based on attributes like location, subscription tier, or custom properties to control precisely who sees what.

Example 1: Plan-Based Access

"Release the new AI Assistant only to users on the Enterprise Plan."

Example 2: Geographic Rollout

"Enable the new payment flow for users in Canada and UK first."

Example 3: Beta Testing

"Allow users who opted into the Beta Program to see the redesigned dashboard."

Experiments​

Run controlled experiments to measure the impact of features on your business metrics. Toggly supports A/B tests, multivariate tests, and automatically tracks statistical significance.

Example 1: A/B Test

"Does the New Checkout Flow increase conversion rates compared to the original?"

Example 2: Multivariate Test

"Test 3 different button colors (Red, Blue, Green) simultaneously to see which one gets the most clicks."

Example 3: Feature Impact

"Measure if enabling Dark Mode affects user session duration."

Metrics & Events​

Track both technical metrics (feature usage, performance) and business metrics (conversions, revenue) to understand how features affect your product and business outcomes.

Audit Logs​

Every change to feature flags, experiments, and configurations is logged with full audit trails for compliance and debugging.

Getting Started​

Ready to start using Toggly? Check out our Getting Started guide to create your account and integrate Toggly into your application in just 5 minutes.

Next Steps​