Google Analytics Data Layer Setup

Current State Assessment

• Describe the existing data layer or event payloads feeding Google Analytics today.
• Capture gaps in naming, formatting, or availability that must be resolved before launch.
• Highlight stakeholders who can modify the underlying data sources.

Required Objects & Attributes

• List the events, user properties, and ecommerce objects needed for this engagement.
• Specify formatting requirements (string, number, boolean) and accepted enumerations.
• Reference consent or privacy flags that must be passed with each payload.

Example Payload Drafts

• Provide sample objects for priority events to guide engineering work.
• Note which fields are mandatory versus optional during the initial rollout.
• Call out any calculations or transformations performed before data hits Google Analytics.

Governance & Change Control

• Define how updates to the data layer are requested, approved, and versioned.
• Link to shared tracking plans or schema registries that mirror Google Analytics.
• Set expectations for regression testing when changes are promoted.

Outstanding Questions

• Record dependencies on other teams, systems, or vendor feedback.
• Flag items that require legal or privacy review before implementation proceeds.