Overview #
The Chained Select Field allows you to create a series of interconnected dropdown menus, where each selection filters the options available in subsequent dropdowns. This field is ideal for hierarchical data, such as Country → State → City, or Category → Subcategory → Product selections.
Key Features #
- Multi-Level Dropdowns: Create unlimited levels of dependent dropdowns.
- CSV Data Source: Upload CSV files or link to remote URLs for dynamic data.
- Automatic Filtering: Child dropdowns update instantly based on parent selections.
- Two Layout Options: Vertical or horizontal dropdown arrangement.
- Save & Resume Support: Selections are preserved when saving drafts.
Common Use Cases #
- Location Selection: Country → State/Province → City → Zip Code for shipping or registration forms.
- Vehicle Selection: Year → Make → Model → Trim for automotive forms.
- Product Configuration: Category → Subcategory → Product → Variant for e-commerce stores.
- Organization Hierarchy: Department → Division → Team → Employee for internal directories.
How to Add a Chained Select Field #
Step 1: Add the Field to Your Form #
- Go to HT Form → Forms in the WordPress admin.
- Edit an existing form or create a new one.
- In the Form Builder, find Chained Select in the elements panel.
- Drag and drop the field onto your form.

Step 2: Configure Basic Settings #
Admin Label #
- Purpose: Internal field identifier.
- Example: “Location Selector”, “Vehicle Picker”.
Label #
- Purpose: Text displayed above the dropdown.
- Example: “Select Your Location”, “Choose a Vehicle”.
Placeholder #
- Purpose: Text shown in unselected dropdowns.
- Default: “Select…”
- Example: “Choose an option”.

Data Source Configuration #
Option 1: File Upload #
- Click Upload CSV.
- Select your CSV file (ensure it’s within the size limit).
- The file will be parsed immediately, and you’ll see the detected columns.
Option 2: Remote URL #
- Enter the URL of your CSV file.
- Click Fetch Data to load it.
- Use Refresh to update the data if the file changes.

CSV Format Requirements #
Basic Structure #
Your CSV file must have:
- Header Row: Column names are used as dropdown labels.
- Data Rows: Values for each dropdown level.
Example: Location Data #
Country,State,City
USA,California,Los Angeles
USA,California,San Francisco
Canada,Ontario,Toronto
Canada,Quebec,Montreal
This creates a 3-level dropdown: Country → State → City.
Layout Configuration #
Layout Options #
| Layout | Description | Best For |
|---|---|---|
| Vertical | Dropdowns stacked vertically. | Mobile forms. |
| Horizontal | Dropdowns displayed side by side. | Desktop forms. |
Field Size Options #
| Size | Appearance |
|---|---|
| Small | Compact dropdowns |
| Medium | Standard size |
| Large | Prominent dropdowns |

How Filtering Works #
Level 1 (First Dropdown) #
Displays all unique values from the first CSV column.
Level 2 (Second Dropdown) #
Filters options based on the selected value from the first dropdown.
Subsequent Levels #
Each level filters based on all previous selections, displaying only the relevant options.

Complete Configuration Examples #
Example 1: Location Selector #
Scenario: Shipping address form with country/state/city selection.
Configuration:
- Admin Label: Shipping Location
- Label: Select Your Location
- Data Source: File Upload (locations.csv)
CSV:
Country,State/Province,City
USA,California,Los Angeles
USA,New York,New York City
Canada,Ontario,Toronto
Example 2: Product Selector #
Scenario: Product selection with categories, subcategories, and products.
Configuration:
- Admin Label: Product Finder
- Label: Find Your Product
- Data Source: Remote URL (https://example.com/products.csv)
CSV:
Category,Subcategory,Product
Electronics,Phones, iPhone 13
Electronics,Phones, Galaxy S21
Clothing,T-Shirts, Basic Tee
Clothing,Jeans, Skinny Fit Jeans
Viewing Submissions #
Chained Select data is displayed as a sequence of selected values:
- Example: “USA → California → Los Angeles”.
- Exporting Entries: Data is stored as a JSON array, e.g.,
["USA", "California", "Los Angeles"].
Advanced Tips #
Dynamic Data Updates #
For frequently updated data, use Remote URL as the data source. This allows you to refresh the data without re-uploading the CSV.
Conditional Logic Integration #
You can show or hide other fields based on Chained Select choices. For example, display shipping options if the user selects a specific country.
Optimizing Large Datasets #
For large CSV files (over 1000 rows), consider breaking data into smaller chunks or using Remote URL to fetch data dynamically.
Troubleshooting #
CSV Not Parsing Correctly #
- Solution: Ensure the file is UTF-8 encoded and columns are consistent across all rows.
Remote URL Not Loading #
- Solution: Verify the URL is publicly accessible and that the file is in CSV format.
Dropdowns Not Filtering #
- Solution: Ensure your CSV follows the correct structure and that there are no empty cells.