Use case - data trust
Get events your PMs trust enough to argue from
Decisions stall while people argue about whether the data is even right, and eventually the team just stops trusting Amplitude and goes back to gut calls.
In short
We write a tracking plan that names every event once, in one convention, with an owner and the question it answers - so a PM pulling a chart can trust the number without re-checking with an engineer first. Most 'our numbers don't match' problems are a naming problem wearing a data problem's clothes.
The situation
Someone pulls up a metric in a product meeting and the first response is 'wait, is that counting the same thing the other dashboard counts?'
What we implement
We write a tracking plan - one document naming every event, its trigger, its owner, and the question it answers - what's called a tracking plan, enforced against a single naming convention so 'signup', 'sign_up', and 'Signup Completed' never coexist.
What you get
- One name per event, everywhere, so two dashboards never silently disagree
- A written owner for every metric, so 'is this right?' has a person to ask, not a shrug
- Fewer meetings that end in 'let's just pull it from SQL instead'
Illustrative
A team running three near-duplicate signup events might find, once consolidated under one tracking plan, that their reported signup count changes - not because more people signed up, but because the old dashboards were quietly double-counting some of them. (Illustrative scenario - not a measured result.)
Related: Tracking plan, defined · Event taxonomy, defined · Free tracking plan template · Amplitude taxonomy linter
Frequently asked questions
We already have events in Amplitude. Does a tracking plan mean starting over?+
No - the plan documents and consolidates what exists, then governs what gets added next. Duplicate or drifted events get merged or deprecated on a schedule, not deleted overnight, so historical reports don't break.
Who should own the tracking plan once it's written?+
A named person, not a team - our template makes 'owner' a required column for exactly this reason. Unowned events are the ones that drift first.
Other use cases
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