A solid analytics implementation starts long before you write a single line of code. Without a clear plan for what to track and why, you can end up with messy data, missed insights, and costly rework.
This tracking plan template gives you a structured way to map out your events and properties upfront, so your analytics setup is accurate, consistent, and built on a reliable source of truth.
What is a product analytics tracking plan?
A product analytics tracking plan is a document that defines every event and property you need to capture in your product. This template provides a structured implementation spec where you can record event names, triggers, definitions, property types, data types, sample values, and developer notes, all in one place.
It's designed to act as the single source of truth for your analytics implementation, covering both what's currently being tracked and what still needs to be.
Who is it for?
This template is for product managers and product leaders who are setting up or auditing a product analytics implementation. It's also a practical resource for anyone working closely with developers or data teams, since it bridges the gap between product decisions and technical execution.
If you're onboarding a new analytics tool, planning a new feature, or trying to bring more structure to an existing setup, this template is a good place to start.
How to use the template
Begin with the "About this template" tab to familiarize yourself with the core concepts, particularly the distinction between events and properties, which is where most of the value in your analytics data comes from.
Then move to the implementation spec and work through it row by row, filling in each event your users can trigger within your product. For each event, capture the associated KPI, the trigger, a clear definition, and the relevant properties. Use the "Implemented?" column to track progress across your team, and add developer notes wherever additional context will help during the build.
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