Yes! You can use AI to fill out National Youth in Transition Database (NYTD) Survey

This validation checks that the 'Survey Completion Date' field contains a valid date in a recognized format (e.g., MM/DD/YYYY). It also ensures the date is not set in the future, as a survey cannot be completed on a day that has not yet occurred. If the date is invalid or in the future, the form submission will be rejected and the user will be prompted to enter a correct, past or present date.

This check validates that only one option is selected from the 'Method of Survey Administration' group (In-Person Office, In-Person Home, Phone, Mail/Email). Selecting multiple methods is logically inconsistent for a single survey event. A failed validation will trigger an error message asking the user to select only one administration method to ensure data accuracy.

This validation ensures that only one role (Caseworker, NYTD Coordinator, or Other) is selected for the survey administrator. An individual can only have one primary role in the context of administering this specific survey. If more than one role is checked, the system will display an error and require the user to specify a single role.

This check enforces a conditional logic rule: the 'Other Survey Administrator Role' text field must be filled out if and only if the 'Other' checkbox is selected for the administrator's role. This ensures that when a non-standard role is indicated, it is properly described. If 'Other' is checked and the text field is empty, or if the text field is filled when 'Other' is not checked, the submission will fail until the inconsistency is resolved.

This validation ensures that for the 'Full-Time Employment Status' question, exactly one of the three options ('Yes', 'No', or 'Declined to answer') is selected. This prevents contradictory or incomplete data, such as selecting both 'Yes' and 'No'. If zero or more than one option is selected, the form will prompt the user to make a single, definitive choice.

This check verifies that a youth cannot be reported as both employed full-time and employed part-time. If a user selects 'Yes, employed full-time', they cannot also select 'Yes' for 'Part-Time Employment Status'. This cross-field validation prevents logically impossible employment scenarios, ensuring higher data quality. A validation failure would require the user to correct the employment status entries.