Building Notion's Analytics Foundation: A Product-First Tracking Plan

In this content series - season 1, I create a tracking plan for a typical start-up tool every day for four weeks (I take a break on the weekend), so 20 in total. This is the first one for the omnipresent Notion tool. You can apply the principles in this one to any tool that has workspaces and documents. Here is the season overview:

Every product analytics implementation starts with good intentions and ends in event chaos." This was my experience at every company until I developed a structured approach to building tracking plans. Today, we'll explore how to create a foundational analytics framework for Notion using AI assistance - a process that helps avoid common pitfalls while capturing meaningful user behavior. Instead of tracking every click, we'll focus on what really matters: how users progress from exploration to active usage, and ultimately, to product success.

The approach combines systematic event design with practical decision-making, demonstrating how thoughtful analytics architecture can scale with your product. Whether you're building Notion, another collaboration tool, or any SaaS product, these principles will help you create analytics that drives genuine product insights.

This is part 1 of my new content series, where I will create one tracking plan each day for the next four weeks (I will pause on the weekends).

From Raw Events to Customer Journey: The Double Three-Layer Framework

When building analytics for a product like Notion, it's tempting to track everything. Every click, every view, every interaction. Yet the most valuable insights often come from understanding user behavior at a higher level. This requires a different approach to event tracking – one that focuses on meaningful activities rather than raw interactions.