Wingify Feature Management includes multiple tabs, each with its own listing page. These tabs include:
Feature Flags
Flag Rollout
Flag Testing
Flag Multivariate
Flag Personalize
While each tab serves a different purpose, the listing interface, structure, and available actions remain consistent across all of them. Within each tab, flags are displayed in a structured table, making it easy to quickly review their status, assess key metrics, and take actions without opening individual records.
Depending on the tab you are working in, certain columns and data points may vary to reflect the specific functionality of that flag type.
From any tab’s listing page, you can:
View and manage flags in a single, structured layout.
Monitor performance at a glance using metrics such as Flag ID, Environment, Rules, Visitors, Unique Conversions, or Combinations.
Filter flags based on attributes such as Status, Creator, Date, Environments, or Labels.
Customize visible columns to focus on the most relevant data.
The next section outlines how different roles can use the flag listing pages in Feature Management.
#Role-based Usage Examples for the Feature Flags Listing Pages
Based on their role, different personas can use the Feature Management listing pages in different ways:
Role
Usage
Developer / Engineer
Monitor which feature flags are active in each environment and quickly identify those that require rules or configuration updates. Use the Flag Testing and Flag Multivariate tabs to track variation performance and validate that experiments are running on the correct environments.
Product Manager
Track the impact of feature experiments such as rollouts and tests. Monitor visitor counts and conversions to evaluate business outcomes. Identify campaigns that require further iteration, additional targeting rules, or have configuration issues flagged in the Vitals column.
QA / Quality Analyst
Use the Vitals column in Flag Testing and Flag Multivariate tabs to detect tracking or setup issues and verify campaigns are running correctly. Quickly locate specific flags or campaigns using search and filtering for debugging purposes.
Data Analyst
Validate experiment outcomes using Unique Conversions and Visitors data across Flag Testing and Flag Multivariate tabs. Apply filters to segment flags by date, environment, or status for deeper analysis.
Growth / Experimentation Manager
Scan across all Feature Management flags from a single interface to monitor rollout progress, testing results, and personalization campaigns simultaneously.
These examples highlight how the listing pages serve as a shared workspace, enabling different teams to collaborate, make informed decisions, and drive continuous optimization across feature experiments.
#Access and Navigate the Feature Flags Listing Pages
This section outlines how to access and navigate the flag listing pages in Feature Management. While each flag type has its own listing page, the structure, layout, and available actions are the same across all flag types.
Before you begin, ensure you have:
An active Wingify account with access to Feature Management.
The required user role and workspace permissions to access relevant flags and campaigns. For more information, see Roles and Permissions in Wingify.
To access the flag listing pages, from the Wingify dashboard, navigate to Feature Management and select the tab you want to work in:
Feature Flags
Feature Flag Rollouts
Flag Testing
Flag Multivariate Test
Flag Personalize
Each tab opens its own listing page, displaying all flags created within that tab. You can browse the listing table to monitor performance. In the Feature Flags tab, you can also use the Create button at the top-right corner to create a new flag.
The following sections describe the actions and features available on the flag listing page. Unless explicitly noted, all features and actions apply to all flag types.
By default, flags are displayed in a structured table. Each row represents a flag, with columns displaying key details. Clicking anywhere on a row opens the flag Rules, Configuration, or Reports section, where you can view detailed setup, performance metrics, and results.
Note:
Columns are available only in the Table View. In the List View, details are presented in a simplified, stacked format without column-based organization. Use the view toggle at the top-right of the listing page to switch between Table View and List View.
Switching views does not affect your data or filters. It only changes how the information is presented, so you can choose the layout that best suits your workflow.
While the core columns, such as Flag Name and ID, are common across all flag types, certain columns appear only in specific flag tabs to reflect the nature of that flag type.
#Available Columns on the Listing Page for Each Flag Type
The feature flags list view displays the following columns, along with the flag types each column applies to:
Column
Description
Feature Flags
Flag Rollout
Flag Testing
Flag Multivariate
Flag Personalize
Flag Name
The name of the feature flag. Clicking the row opens the flag's configuration or report view.
✅
✅
✅
✅
✅
ID
A unique identifier that is auto-assigned to each flag when it is created. This is useful for reference and debugging.
✅
✅
✅
✅
✅
Environment (Prod / Staging / Dev)
Displays the environment(s) the flag or campaign is active in. The Feature Flags listing page shows per-environment campaign counts, while other tabs show a single environment tag.
❌
✅
✅
✅
✅
Rules
Number of targeting rules configured for the flag.
❌
✅
❌
❌
✅
Vitals
Highlights the flag’s health, helping you quickly identify whether tracking and data collection are functioning correctly.
❌
❌
✅
✅
❌
Variations
Number of variations configured in the flag.
❌
❌
✅
❌
❌
Combinations
Number of variable combinations configured in the flag.
❌
❌
❌
✅
❌
Visitors
Number of visitors who were included in the experiment.
❌
✅
✅
✅
✅
Unique Conversions
Number of unique users who completed the primary goal.
❌
✅
✅
✅
✅
Created On
Date on which the flag was created, along with the creator's name.
The listing table is fully customizable, allowing you to tailor the view based on your role, analysis needs, or workflow. By adjusting the visible columns, you can focus on the most relevant metrics, whether you are monitoring performance, validating setups, or managing flags at scale.
To customize the table:
Click the column settings ⚙ icon at the far right of the table header. This opens the column configuration panel, where you can manage the displayed data points.
The Active view section shows all currently visible columns.
The Available columns section lists additional data points you can include.
Drag and drop columns to reorder them based on priority.
Tip: Place frequently used fields toward the top, so they appear on the left in the table, for quicker scanning.
To add a column, select the checkbox next to the desired field from the Available Columns section.
To remove a column, clear the checkbox for any active column you no longer need.
To revert to the default view, click the Reset icon at the top-right corner of the panel.
Changes are applied immediately, allowing you to iterate on your view without disruption.
Note: You can display a maximum of nine columns at a time. Once this limit is reached, additional column options are temporarily disabled. To add a new column, first remove an existing one from the Active view. The Flag Name column is always visible and cannot be removed.
