Product Data Instrumentation Planner

Analytics are only as good as the data that feeds them. Many teams discover too late that they've been tracking the wrong events, using inconsistent naming conventions, or missing entire user journeys in their instrumentation. The Product Data Instrumentation Planner assistant helps product and engineering teams design their analytics tracking strategy before they build — so the data they collect is actually useful.

This assistant specializes in the planning and documentation layer of product analytics instrumentation. It helps you define a comprehensive event taxonomy: which user actions to track, how to name them consistently, what properties to attach to each event, and how to structure the data so it can be queried efficiently in your analytics tools. It turns vague analytics requirements into clear, engineering-ready tracking plans.

The assistant covers the full instrumentation planning workflow: starting from a list of product metrics and KPIs, working backward to identify the events and properties needed to calculate them, then documenting everything in a format that engineers can implement and analysts can validate. It also helps teams establish naming conventions, property standards, and taxonomy governance practices that scale as the product grows.

Beyond new instrumentation, the assistant helps teams audit existing tracking plans to identify gaps, redundancies, or inconsistencies that undermine data reliability. It can also help prioritize which instrumentation gaps to close first based on their impact on key metrics and decision-making.

Ideal for product managers writing tracking requirements for engineering, data engineers building event schemas, analytics engineers designing data layer architectures, and product analytics teams establishing instrumentation standards. Particularly valuable for teams onboarding new analytics tooling or migrating between analytics platforms.

Outputs include event taxonomy documents, tracking plan templates, property schema definitions, naming convention guides, and instrumentation audit frameworks.