Define
Agree what action each event represents, when it fires, and which properties are required. Separate product intent from tool naming.
WORKING OUTPUT · Event contractMEASUREMENT / ILLUSTRATIVE CASE STUDY
Analytics & event-schema QA
A dashboard is only useful when everyone can trust the events and definitions beneath it.
This is an illustrative approach based on my experience. It contains no named client, measured result or confidential material.
EVENT INTEGRITYMETHOD / 01
01Trigger
02Payload
03Report
ONE EVENT · ONE MEANING
THE APPROACH
A structured path through the problem
Observe
Reproduce the action and inspect payloads, logs and timestamps across client and server paths.
WORKING OUTPUT · Sample payload + traceReconcile
Compare raw events with reports while accounting for time zones, attribution windows, filters, retries and deduplication.
WORKING OUTPUT · Discrepancy worksheetMaintain
Document the fix or definition change, assign an owner and add a repeatable regression check before the next release.
WORKING OUTPUT · Schema change logAN EXAMPLE TOOL
A compact event contract
Each important event should have a clear, testable definition.
- Trigger: what exact user or system action emits it?
- Name and properties: do they follow one agreed convention?
- Identity: which user, device or session keys are included?
- Delivery: can retries create duplicates, and how are they handled?
- Reporting: which filters, windows or transformations apply?
THE TAKEAWAY
The goal is shared confidence in what the data means, with a trace from product action to payload to report.