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Monitor and Manage Feature Flags from the Flag Listing Pages

Shweta Ajwani
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This article covers the following:

Overview

Wingify Feature Experimentation 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 Experimentation.

Role-based Usage Examples for the Feature Flags Listing Pages

Based on their role, different personas can use the Feature Experimentation 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 Experimentation 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 Experimentation. 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 Experimentation.
  • 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 Experimentation 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.

Understand the Flag Listing View

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.

✅

❌

❌

✅

✅
Started On Date when the campaign started running.

❌

✅

✅

❌

❌

Filter Feature Flags

Filters help you quickly narrow down or search for flags based on specific attributes, especially when working with a large number of records.

To filter flags on the listing page:

  1. Click Add Filter at the top of the table.

  2. Select the filter type from the dropdown. The available filters include:

    Filter

    Description
    Status Filter by campaign state, for example Draft, Running, or Paused.
    Campaign Creator View campaigns created by specific users.
    Creation Date Filter based on when the flag or campaign was created.
    Start Date Identify campaigns based on their actual start date.
    Labels Filter using assigned labels or tags for better organization.
    Environments Filter campaigns by the environment they're running in, such as Prod, Staging, or Dev.
  3. Choose one or more values for the selected filter. The table updates automatically to reflect the applied filters.

You can apply multiple filters simultaneously to create more refined views.

Customize Your Flag Listing Page View

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:

  1. 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.
  2. To add a column, select the checkbox next to the desired field from the Available Columns section.
  3. To remove a column, clear the checkbox for any active column you no longer need.
  4. 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.

Need more help?

For further assistance or more information, contact Wingify Support.

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