How to Build an Event Tracking Plan in Notion
Messy analytics data is worse than no data because it gives you false confidence in wrong conclusions. Teams that instrument events ad-hoc end up with duplicate event names, inconsistent properties, missing context, and data that nobody trusts. A tracking plan is the blueprint that prevents this chaos — it defines every event before a single line of instrumentation code is written.
Notion's database features make it an ideal home for a tracking plan because it supports relational links between events, properties, and product features, and it is accessible to PMs, engineers, and analysts without requiring a specialized analytics tool. This guide shows you how to build a tracking plan that keeps your event data clean, complete, and trustworthy.
Step-by-step guide
Create the events database with standardized fields
Create a Notion database called Event Tracking Plan with these properties: Event Name (title, using your naming convention like object.action), Description (text explaining what this event represents), Trigger (text describing exactly when the event fires), Category (select: engagement, conversion, error, system), Platform (multi-select: web, mobile, backend), Status (select: planned, implemented, verified, deprecated), and Owner (person responsible for implementation).
- Enforce a naming convention in the description field: object.action format like signup.completed or feature.used
- Add a 'Feature Area' select property to group events by product area
- Include a 'Sprint/Release' property linking to when the event was or will be instrumented
Create a linked properties database
Create a second database called Event Properties and link it to the Events database with a relation field. Each property entry has: Property Name (title, using snake_case), Type (select: string, number, boolean, array, object), Required (checkbox), Description (text explaining the value), and Example Value (text). This structure ensures every event's payload is documented before instrumentation begins.
- Define common properties that appear on many events: user_id, session_id, page_url, timestamp
- Create a 'Global Properties' view showing properties that should be sent with every event
- Add an 'Allowed Values' text field for enum-type properties listing all valid options
Define your naming convention and document it
Create a 'Naming Convention' page at the top of your tracking plan that documents the rules every event and property must follow. Define the event name format (object.action), allowed objects (signup, feature, page, subscription), allowed actions (started, completed, failed, viewed), and the property name format (snake_case, no abbreviations). This page is the law — any event that does not follow it gets rejected during review.
- Define the object.action naming pattern with examples for each object category
- List banned patterns: no camelCase event names, no spaces, no version numbers in event names
- Include a decision tree: 'Is this a user action? Use object.action. Is this a system event? Use system.event_type.'
Map events to your product's critical flows
Walk through each critical user flow in your product and identify every point where you need data. For the signup flow, events might include: signup.started (form rendered), signup.completed (account created), signup.failed (validation error or API failure). For each event, fill in the trigger description with the exact condition: 'Fires when the signup API returns 200 and the user account is persisted to the database.'
- Map events to your signup, activation, core usage, and payment flows
- Add events for error states and failure conditions, not just happy paths
- Include page.viewed events for key pages with route and referrer properties
Add implementation notes and QA criteria
For each event, add an Implementation Notes text field describing any technical considerations: should the event fire client-side or server-side? Does it require waiting for an API response? Are there race conditions to handle? Add a QA Criteria text field listing how to verify the event is firing correctly — 'Submit the signup form with valid credentials and verify the event appears in the analytics debug panel with all required properties.'
- Specify whether each event is client-side (JavaScript SDK) or server-side (API call) instrumented
- Note any dependencies: 'This event requires the user to be identified before it fires'
- Write a QA test step for each event so the implementer knows how to verify correctness
Establish the review and maintenance workflow
Define the process for adding new events: the PM creates a draft entry, an engineer reviews the technical feasibility and implementation approach, and an analyst verifies the event is queryable and consistent with existing data. No event goes into production without all three reviews. Schedule a quarterly audit where the team reviews all events for usage — deprecate events that are not being queried and add missing ones that have been requested.
- Create a 'Needs Review' status that new events must pass through before implementation
- Assign each new event a PM reviewer, an engineering reviewer, and an analyst reviewer
- Schedule a quarterly tracking plan audit to deprecate unused events and add newly needed ones
Common mistakes
Writing the tracking plan after instrumentation
Documenting events after they are already in the codebase means the plan is descriptive, not prescriptive. Write the tracking plan before writing any instrumentation code so the plan drives the implementation, not the other way around.
Not including event properties in the plan
An event named feature.used without documented properties is useless for analysis — which feature? On which page? By which user type? Every event needs a defined set of properties with types and descriptions.
Using inconsistent naming across platforms
If the web app sends signup_completed and the mobile app sends SignupCompleted, your analytics tool treats them as different events. The tracking plan must enforce a single naming convention across all platforms.
Not deprecating old events
Events for features that no longer exist clutter your analytics and confuse anyone writing new queries. When a feature is removed, mark its events as deprecated in the tracking plan and schedule their removal from the codebase.
Tips
Use Notion's relation field to link events to a Features database so you can see all events associated with a specific product area or feature
Create a 'Quick Reference' view showing only event name, category, and trigger for engineers implementing instrumentation — hide the planning fields they do not need
Export the tracking plan to a spreadsheet quarterly and share it with your analytics team so they can validate that the documented events match what arrives in the data warehouse
Add a 'Last Verified' date property that updates when someone confirms the event is still firing correctly in production
How Vantage helps
Vantage captures product requirements with enough specificity that the analytics events needed to measure success are implicit in the spec. When Vantage generates implementation tickets, it can include analytics instrumentation tasks that reference the tracking plan, ensuring measurement is built into the development workflow.