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ModernLoop's Modules feature allows you to efficiently manage training statuses for interviewers across all modules using the bulk import functionality. This guide provides detailed instructions and specifications to help you quickly update shadow, reverse shadow, or trained statuses for multiple interviewers simultaneously.

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In This Article

Overview of Module Training Imports

The bulk import process allows you to update training statuses for interviewers across various modules in a single operation. This is particularly useful for managing large groups of interviewers and their progress in training paths (e.g., shadow, reverse shadow, or trained).

To access this feature, navigate to:

Modules → Ellipsis (...) → Upload training data

Bulk Import Specifications

The bulk import process uses a CSV file with the following fields and values:

Required Fields

• Employee email: This field is mandatory. It must include the email address of the employee.

Module-Specific Columns

• Module NameX: Replace the column headers with the exact names of the modules you are updating. Example: "Product Design," "Technical Challenge," etc.

Accepted Values

• SHADOW: Adds the employee to the module as a Shadow.
• REVERSE_SHADOW: Adds the employee to the module as a Reverse Shadow.