Event Tracking Schema Designer

Free v1.0.0 7 views

Design consistent event tracking schemas with object-action naming conventions to prevent analytics chaos as your product scales.

What You Get

Get a production-ready event schema with standardized naming, categorized events, property standards, and copy-paste implementation code for your analytics platform.

The Problem

Technical founders start tracking events without a naming convention, leading to inconsistent data that becomes unusable after 6 months. Different developers create 'clicked-signup' and 'signup-clicked' for the same action. Event entropy creeps up like a level three hoarder situation - teams can't find the right events, can't trust what they track, and waste time fixing event schemas instead of analyzing data. Instrumenting and maintaining a clean and consistent taxonomy is one of the most challenging steps to successfully leveraging a product analytics tool.

The Solution

This skill provides a complete event tracking schema based on the object_action naming convention. For new implementations, you receive a categorized event taxonomy organized by product area, standardized property naming patterns, platform-specific implementation code (PostHog, Mixpanel, Amplitude, June.so), governance processes tailored to team size, and prioritized event rollout plans. For existing messy schemas, you get a duplicate event audit, mapping table from old to new events, phased migration plan with parallel tracking, and cleanup checklists. All deliverables include copy-paste ready code, markdown documentation, and anti-patterns to avoid.

How It Works

  1. 1 Gather context about product, current state, objects/actions, analytics platform, and team size
  2. 2 Define object_action naming convention with past tense verbs and anti-patterns to avoid
  3. 3 Build categorized event taxonomy organized by product areas with triggers and properties
  4. 4 Standardize property naming patterns for IDs, counts, durations, booleans, and arrays
  5. 5 Generate platform-specific implementation code with constants, types, and usage examples
  6. 6 Create governance process for event approval, duplicate prevention, and quarterly cleanup
  7. 7 Prioritize events into tiered rollout (core funnel, engagement, advanced features)
  8. 8 Document complete schema with tables, code blocks, and migration plans for scanability

What You'll Need

  • Product description and key objects/actions
  • Analytics platform choice (PostHog, Mixpanel, Amplitude, June.so, Segment)
  • For cleanups: current event list exported from analytics platform
  • Ability to modify codebase to implement tracking
  • For teams: agreement on who owns analytics decisions

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Examples

B2B Schema with GDPR Compliance and Enterprise SSO

Comprehensive event tracking schema for a B2B collaboration platform with GDPR compliance (user ID hashing, EU data residency) and enterprise SSO audit logging. Includes 40+ events, Amplitude implementation with type-safe tracking, and 4-week rollout plan.

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E-commerce Schema Cleanup with Migration Plan

Cleanup plan for messy e-commerce event tracking. Maps 6 duplicate events to 2 standardized names, provides 3-week migration phases, Mixpanel implementation code, and governance process for a 4-developer team.

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New Schema for Solo Founder To-Do App

Complete event tracking schema for a to-do list app starting fresh. Includes PostHog implementation, 15+ events organized by Account/List/Task categories, property standards, governance for solo founders, and prioritized rollout plan.

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