Flow A/B Testing
A/B testing (also known as split testing) is a powerful method for optimizing your authentication flows by comparing different versions to determine which performs better. In Descope, you can easily implement A/B tests to experiment with different authentication experiences and measure their impact on user conversion and satisfaction.
Descope Flows
When a user starts a flow, Descope automatically assigns them a random testing key between 0 and 100. This key remains consistent for that user throughout their session, ensuring they see the same flow version each time they authenticate. This key can be used in an A/B testing condition to send the user to a specific "branch" of the flow.
Setting Up A/B Tests
- Create Test Groups: Use the condition block to split users into different groups based on their testing key:
- Configure Test Variations: Create different paths in your flow for each test group:
- Monitor Results: Track the performance of each variation in the Flow Analytics dashboard:
Best Practices for A/B Testing
- Test One Variable at a Time: Change only one element between versions to accurately measure its impact
- Ensure Statistical Significance: Run tests until you have enough data to make confident decisions
- Consider User Context: Account for factors like device type, location, and user history
- Set Clear Success Metrics: Define what success looks like before starting the test
Advanced Analytics Integration
For more detailed analytics, you can use connectors to integrate with third-party analytics tools like Segment, Amplitude, and more.
Common Use Cases
- Authentication Methods: Test different authentication methods in your flow
- UI/UX Variations: Experiment with different layouts, colors, or messaging
- Progressive Profiling: Experiment on the right time to collect additional user information
For more detailed examples and case studies, check out our A/B Testing Blog.