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Event Tracking Architecture — Designing for Clean Data

Designing event schemas, building tracking plans, implementing tracking in code, and avoiding the data debt trap.

16 min readevent-tracking, analytics, tracking-plan, data-quality, mixpanel, segment

You install Mixpanel. You add track('button_clicked') to a few places. A month later, you have 47 different event names with inconsistent formatting, missing properties, and no documentation. The product manager asks "what's the conversion rate from trial to paid?" and the answer is "we can't tell because we're tracking signup_complete, Signup Complete, user_signed_up, and registration_done as four different events."

This is data debt — the analytics equivalent of technical debt. It accumulates silently, and by the time you notice it, your product analytics data is unreliable. The fix isn't better tools. It's better architecture. Specifically, a tracking plan, a naming convention, and a disciplined implementation process.

The Tracking Plan

A tracking plan is a document

This lesson is part of the Guild Member curriculum. Plans start at $29/mo.