Airtable forms: required answers and validation are separate

SOURCE-BASED ANALYSIS · NO HANDS-ON RATING

Start with the next person’s decision

Choose the smallest set of answers needed to process a request. Airtable’s form documentation distinguishes required fields from data validation: validation of a non-empty value does not by itself require an answer. Some validation controls depend on the plan, so verify available options in the form being configured.

Example: a maintenance request

Assume a facilities team needs a location, a problem description and a contact address. A photo is useful but optional. For urgent requests, the proposed process also asks for a callback number. Write these as intake requirements before laying out the form, and state who reviews incomplete or ambiguous requests. The example is a design exercise, not a claim about a default form template.

Build the acceptance cases

1. Configure the destination table and confirm that each form question writes to the intended field.
2. Mark truly necessary answers as required and use clear helper text.
3. Configure available validation for non-empty inputs where appropriate.
4. Test an empty required answer, a malformed address, a valid routine request and an urgent branch.
5. Publish the form changes and repeat the cases using the intended submitter access rather than relying only on the editor preview.

Check the record after submission

For each accepted case, open the resulting row and compare location, contact address, urgency and optional photo with the submitted values. A confirmation screen alone does not demonstrate that the downstream team has everything needed. If an automation follows submission, test that flow separately using the actual stored record.

Balance completeness and effort

Do not require every possible field merely because a table contains it. Optional context can remain optional until a later review stage. Document which missing answers should block submission and which should create a follow-up question. Review the form when processing requirements change, and retain the test cases so a new condition cannot quietly hide an answer that the next action requires.

Continue with Airtable condition triggers: existing matches and repeated entry when that next step matches your workflow.