First-Party UX Event Tracking

UX tracking starts with a product question, not a list of every clickable element. Define the decision you need to make, instrument the few events that answer it, and verify the payload before building a dashboard.

Turn a question into an event

Suppose the question is: “Do people abandon checkout after seeing shipping cost?” A compact schema might use:

{
  "name": "checkout_step_viewed",
  "data": {
    "step": "shipping",
    "checkout_version": "v3",
    "surface": "web"
  }
}

Add a stable event ID and timestamp in the collection layer. Do not place form values or personal data in generic UX parameters.

Instrument actions, not DOM details

Useful events describe user intent:

• search_submitted
• product_compared
• checkout_step_viewed
• form_error_shown
• purchase_confirmed

CSS classes and button positions change often. A business event such as trial_started is easier to keep stable than green_button_clicked.

Add only useful context

Parameters can include the product surface, flow version, step name, error category, experiment assignment, and consent state. Keep names consistent across web and mobile so analysts can compare the same action without rebuilding the query.

UX tracking data structure

Validate before analysis

1. Write the event contract and allowed parameters.
2. Test one complete journey in a staging environment.
3. Compare captured events with the product's source records.
4. Check duplicates, missing steps, and schema drift.
5. Record a baseline before shipping the UX change.
6. Segment anonymous and identified journeys according to your consent policy.

See web and mobile measurement for a shared cross-platform schema and Hardal for analysts for warehouse delivery and governance.