Field definition checklist

Every new product field should be created with a documented purpose and lifecycle owner.

• Business purpose: why this field exists and who consumes it.
• Data type and format: exact value shape and examples.
• Ownership: who approves value standards and change requests.
• Required/optional state and publish impact when empty.
• Scope rules: global versus market/channel/locale specific.

Choosing the right field type

Use the most constrained field type available so validation can prevent bad data at entry time.

• Identifier fields for SKUs, GTINs, and other controlled IDs.
• Measurement fields for numeric values with unit expectations.
• Select or enum fields for controlled vocabularies.
• Table/structured fields for repeatable spec blocks.
• Media/document fields for slot-based asset attachments.
• Text fields for narrative content with length guidance.

Validation and uniqueness strategy

Validation should reflect business-critical constraints without over-blocking editorial workflows.

• Apply required only where missing values should block completion.
• Use uniqueness for true identifiers, not descriptive text.
• Define min/max length and format expectations for text-like fields.
• Use controlled options for fields that drive filters and exports.
• Plan fallback behavior for empty optional fields in downstream feeds.

Scope, localization, and channel behavior

Field scope decisions determine where values can vary and who can edit them.

• Keep core master data global unless variation is necessary.
• Use localized fields only for translatable customer-facing content.
• Use channel-aware fields for destination-specific requirements.
• Restrict markets/channels/locales when values are not universally valid.
• Test for missing scoped values before enabling publish automation.

Quality controls and rollout

Schema quality is maintained by testing and monitoring, not one-time setup.

1. Create test records for each family and variant pattern.
2. Run completeness checks in all target market/channel contexts.
3. Validate integration/export payloads for new or changed fields.
4. Monitor rejection and validation error patterns after launch.
5. Audit stale, duplicate, or low-population fields quarterly.