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A tracking plan your engineers will actually follow

The exact format we hand to clients in implementation sprints - columns, conventions, and the process rules that keep it alive after launch.

Most tracking plan templates fail the same way: they document events without documenting decisions. This one forces the decisions. Every row must name its owner and the product question it answers - events that can't fill those columns don't get instrumented, which is the entire anti-bloat mechanism.

The columns, and why each exists

ItemDetail
Event nameIn your one enforced convention (we default to Object-Action Title Case: 'Report Exported'). The template validates casing.
TriggerPrecise firing condition - 'server confirms signup', never 'user signs up'. Ambiguous triggers are where duplicate events are born.
Properties (name / type / allowed values)Typed, with controlled value lists. Free-text property values are future junk.
PlatformsWeb / iOS / Android / server - so cross-platform gaps are visible before launch, not in a chart.
OwnerA person, not a team. Unowned events are unqueried events are wasted volume.
Question answeredThe analysis this event serves. The column that keeps taxonomies small.
Status & versionProposed / live / deprecated, with the release that changed it - the audit trail that makes drift diagnosable.

The process rules matter as much as the columns: the plan lives where engineers work, every instrumentation PR links to its row, and a quarterly prune removes events with no queries. Adopt the columns without the process and you've made a prettier graveyard.

In practice: Want it filled in for your product? The implementation sprint's first deliverable is this document, completed.

Frequently asked questions

How many events should the plan start with?+

For one product surface: typically 20-50 well-chosen events. If your draft exceeds a hundred, the 'question answered' column is being skipped - that column is the diet.

Sheets or a data-management tool?+

Start in a spreadsheet - approval workflows and commenting matter most early. Graduate to Amplitude's data management once the taxonomy stabilizes; keep the spreadsheet as the proposal stage.

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