The event taxonomy system that turns "we don't have data for that" into dashboards that predict churn 30 days early.
It is 2 PM on a Tuesday. Your product manager walks into the analytics team's Slack channel:
"Our enterprise churn rate jumped 15% last quarter. Can you pull up the data on which features churning accounts stopped using before they left?"
Silence. Then:
"We don't really track feature usage at that level. We know they logged in. We know they created a few objects. But we don't have events for feature adoption, configuration changes, or workflow completion."
The analytics system tracks twelve events. Login. Signup. Object Created. Object Deleted. Page Viewed. Four variations of "Button Clicked." And three events that an engineer named six months ago that nobody can explain.
This is the analytics blindspot. And it is costing your company more than you think.
Event tracking without a taxonomy is just expensive noise.
You don't track the behavioral signals that precede churn. By the time you know, they're already gone.
You have the top and bottom of the funnel. The middle is a black hole. You know users sign up but not where they get stuck.
user_signup, Login, Create_Campaign, formSubmitted — inconsistent names, incomplete properties, and events nobody trusts.
A complete methodology — naming conventions, property schemas, tracking plans, QA checklists, and implementation playbooks — that you can deploy this week.
From naming conventions to implementation playbook. Works with Amplitude, Mixpanel, PostHog, and any analytics tool.
5-Step Design Process, event types, property schemas, governance, implementation guide, and tool configuration for Amplitude, Mixpanel, and PostHog.
50+ correctly-named event examples. Decision guide for Title Case, snake_case, camelCase. Property naming standards and anti-patterns.
Pre-built events for 8 core areas: Auth, Core Object, Collaboration, Configuration, Import/Export, Billing, Reporting, Integrations. Three complete worked examples.
20 fully-specified event property schemas with types, required flags, descriptions, and example values.
Event specs with trigger conditions, properties, sample JSON payloads, and implementation notes. 10 fully-specified examples ready for engineering handoff.
Pre-implementation review, implementation QA, post-launch validation, weekly data quality audit, and quarterly taxonomy health check.
8-week phased rollout: Critical events (weeks 1-2), Feature adoption (3-4), Engagement & retention (5-6), Advanced events (7-8).
From zero to working tracking plan in one week. Day-by-day tasks with time estimates. Results by Friday.
The Quick Start gets you a tracking plan in 5 days. Full implementation follows the phased rollout.
Break your product into 8 functional areas. Identify every user action, system response, and workflow in each area.
Day 1 — 2 hoursSelect the right event types for each action. Apply the naming convention. Build your vocabulary dictionary.
Day 2 — 3 hoursSpecify properties for each event — types, required flags, validation rules. Ensure every event carries full analytical context.
Day 3 — 2 hoursWrite the spec document engineers need: trigger conditions, properties, sample JSON payloads, implementation notes.
Day 4 — 3 hoursRun the QA checklist. Hand the tracking plan to engineering. Begin the 8-week phased implementation.
Day 5 — 2 hoursThis is for you if:
This is NOT for you if:
"We went from 15 inconsistent events to 95 well-structured events in 6 weeks. For the first time, we can actually see where users drop off in onboarding and predict churn 30 days early. The naming convention alone saved us weeks of cleanup."
5,000 users, Series A
One-time purchase. Full team license.
Instant download · 30-day money-back guarantee
30-day money-back guarantee. No questions asked.
Every day without a proper event taxonomy is another day your product team makes decisions without data. The methodology exists. The templates are built. The examples are ready.
Get Instant Access — $97