This section refers to a deprecated version of the product. The new version is FE&R. To access FE&R, contact your CSM.
πŸ“˜ To learn more, read the FE&R documentation.
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  • User documentation
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  • Flagship - Deprecated
  • Feature Experimentation & Rollout (ex-Flagship) is evolving!
  • GETTING STARTED
    • πŸ‘‰Managing multiple environments
    • Using the trial version of Flagship
  • First steps with Flagship
    • Quick start guide
    • Glossary
  • Implementation
    • Sending transactions from the AB Tasty Shopify app directly to Feature Experimentation & Rollouts
  • Integrations
    • Heap Analytics integration (Push)
    • Tealium AudienceStream (receive audiences)
    • FullStory integration (segment exports)
    • Heap Analytics integration (Pull)
    • Google Analytics integration (pull audiences)
    • Segment Integration (receive traits)
    • Mixpanel integration (cohort exports)
    • πŸ‘‰Retrieving your third-party tools’ audiences in AB Tasty - Feature Experimentation & Rollouts
    • Zapier integration
    • Segment integration
  • Steps configuration
    • πŸ‘‰Configuring Sequential Testing Alerts
    • πŸ‘‰Configuring your Flags
    • πŸ‘‰Using the scheduler
    • πŸ› οΈ[Troubleshooting] How to target a large number of users at the same time?
    • πŸ‘‰Configuring KPIs
    • πŸ‘‰Using the automatic rollback option
    • πŸ‘‰Targeting configuration
    • πŸ‘‰Dynamic allocation
    • πŸ‘‰Traffic allocation
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  • DEMO
    • AB Tasty - Feature Experimentation & Rollouts Demo - How to use it
  • Navigating the interface
    • πŸ‘‰Archiving use cases from the dashboard
    • πŸ‘‰Flags page
    • πŸ‘‰Running a search on the dashboard
    • Navigating the Flagship interface
  • REPORTING
    • πŸ‘‰Verifying your hit setup
    • πŸ‘‰Exporting reporting data
    • Understanding the "Chances to win" indicator
    • πŸ› οΈ[Troubleshooting] How can I know my test is reliable and my data significant enough to be analyzed?
    • Reporting - A/B Test
    • πŸ‘‰Using the reporting filters
  • API keys & Settings
    • πŸ‘‰Acting on your account remotely
    • πŸ‘‰Using Experience Continuity
    • visitor experiment option
  • FEATURES SETUP
    • πŸ‘‰Bucket allocation
  • SDKs integration
    • πŸ‘‰Managing visitor consent
    • πŸ‘‰Understanding the use of SDKs
  • FAQ
    • Can I make a comparison for each reporting?
    • Can I use Flagship even if my SDK stack is not available?
  • Platform integration
    • πŸ‘‰Webhooks page
  • Decision API
    • Decision API for non-techie users
  • Account & Profile
    • πŸ‘‰Configuring account restrictions with MFA
    • πŸ‘‰Configuring a FA on your profile
  • RELEASE NOTES
    • October - Flagship becomes Feature Experimentation & Rollouts
    • February - Release Notes
    • πŸ“…January - Release Notes
    • πŸŽ‰December - Release Notes πŸŽ‰
    • πŸ¦ƒNovember - Release Notes
    • September Release Notes 🎨
    • June Release Notes 🐞
    • 🍸May Release Notes β˜€οΈ
    • Flagship Release Notes April πŸ‡
    • Flagship February release notes πŸ‚
    • Flagship January release notes πŸŽ‰
    • Flagship November release notes πŸ¦ƒ
    • Flagship October Release Notes πŸŽƒ
    • Flagship September Release note πŸŽ’
    • Flagship August Release Notes 🐬
    • Flagship Release Notes July β˜€οΈ
    • Flagship Release notes June 🌻
    • Flagship Spring Release May 🌸
    • Flagship Release Notes: Fall
  • Use cases
    • πŸ‘‰Duplicating a winning variation
    • πŸ‘‰Configuring a Feature Toggle/Flag
    • πŸ‘‰Configuring an A/B Test
    • πŸ‘‰Configuring a Progressive rollout
    • πŸ‘‰Configuring a Personalization
  • VIDEO TUTORIALS
    • [Video Tutorial] AB Test
    • [Video Tutorial] Feature Flag
    • [Video Tutorial] Progressive Deployment
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On this page
  • πŸ“– Definition
  • βš™οΈ Configuration
  • Flag types
  • Configuration modes
  • βš™οΈ Use cases

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  1. Steps configuration

Configuring your Flags

πŸ“– Definition

A Flag (more commonly known as Feature Flagging) is a technique that enables you to remotely modify any system behavior without changing its code. It can be seen as a dynamic variable allowing you to change values at any time. In Flagship, you can configure and manage your Flags.

βš™οΈ Configuration

Flag types

You can configure 5 types of Flags:

Flag type

Usage

Text

To modify the text or the configuration of a specific element in your interface.

Boolean

To activate or deactivate a specific part of your code.

Number

To create different variations of an element (i.e.: different prices for a product).

Array

To manage a list of items.

Object

To monitor more complex parts of your code, such as the iterations of a specific feature or a complete product configuration.

Configuration modes

To configure your Flag, you must select one of the following modes:

  • Standard

  • Expert (JSON)

Standard mode

This is the most common method used for configuring a Flag. You need to fill in the name, type and value of your Flag in separate fields, and you can easily add Flags for the other variations/scenarios of your use case.

Expert mode (JSON)

This mode is designed for users who are comfortable with the JSON interface. It allows you to configure more complex Flags and to be more flexible.

⭐ Good to know

When you save the configuration step of your Flags, the configuration mode (standard/expert) you used will also be saved.

βš™οΈ Use cases

The Standard mode can be used for example by Product Managers who want to use Flags to configure progressive deployment features. They usually want to prioritize their Flags and manage the production of their user stories easily.

The Expert mode (JSON) can be used for example by Tech leaders who want to use Flags for better scalability and safety related to their releases. They usually have a specific method to define the Flags with their team and technical stack that enables them to keep control over their code.

Need additional information?

Submit your request at product.feedback@abtasty.com

Always happy to help!

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