measure-instrumentation-spec

To create an analytics instrumentation spec, outline your feature name, chosen analytics platform, event names with triggers, required properties, and user properties. This standardizes measurement across web and mobile platforms.

An event inventory is a structured list of analytics events detailing triggers and properties. It improves data quality by establishing a reliable measurement contract aligning product and engineering teams before feature launches.

Handle PII in event tracking by flagging sensitive fields within your instrumentation spec and prescribing specific handling methods like hashing or exclusion to ensure privacy compliance across web and mobile platforms.

An analytics QA testing checklist for new features should include validating event triggers, verifying required properties, auditing data coverage, and checking governance notes to ensure consistent measurement before release.

Yes, you can use a single instrumentation spec for both web and mobile platforms by defining standard event triggers and properties that apply universally, ensuring consistent measurement across your entire product.

You need an analytics contract before launching a new feature to prevent inconsistent data caused by informal tracking agreements, ensuring product and engineering teams align on event definitions and validation methods.