The Fields Catalog provides detailed information about every input field in the Benchmark platform. Understanding these fields is crucial for accurate data submission.

👉 We know this isn't an entertaining area of life, but our goal is super simple: for the Field Catalog to function as a single source of truth for all participants. If you see a definition that doesn't capture how you use a field, or think we've got something wrong, open that chat window in the bottom corner and scream at us! :)

(or say it nicely, that works, too)

About Data Inputs

Data inputs are the building blocks of the submission forms. They are the mechanism by which you provide all underlying data used to derive metrics and analysis in reports.

Types of Input Fields

Pre-defined Selection Fields

Dropdown menus
Radio button groups
Date pickers

Used when specific options must be chosen

Alphanumeric Fields

Text input fields
Text areas

Used for entering numbers, descriptions, or explanations

Toggle Fields

Slide toggles
Checkboxes

Used for yes/no or on/off selections

Understanding Field Documentation

Essential Information

Field Name: The label you'll see on the form
Description: Detailed explanation of what data is required
Example: Sample data showing expected format
Required/Optional: Whether the field must be completed

Technical Details

Format: The type of data accepted (text, number, date, etc.)
Validation Rules: Any specific requirements or limitations
Source: Suggested source for this data in your systems

Catalog Organization

The catalog is organized by input page, following the same structure as the platform:

Page 1a: General Facts
Page 1b: P&L
Pages 2a & 2b: Attendance
Page 3: Staffing
Pages 4a & 4b: Sales
Pages 5a & 5b: Balance Sheet & Form 990
Page 6: Capital, Endowment & In-Kind

Tips for Using This Catalog

Before Data Collection: Review field definitions to understand exactly what data you'll need
During Preparation: Use as a reference when setting up data extraction from your systems
During Entry: Refer back to ensure accuracy in data interpretation
For Validation: Cross-check entered data against field requirements