Event Tracking Governance and Logging Platform Solutions

This article introduces the concept of event tracking (打点) and its importance for ensuring data quality, and shares the logging platform's solutions and practical experience in event tracking governance.

Event tracking refers to embedding statistical code in websites or apps to record user actions such as clicks and swipes, generating user behavior logs that support reporting, A/B testing, personalization, etc.

Event tracking governance involves monitoring and managing the lifecycle of tracking points to ensure accuracy, timeliness, comparability, consistency, applicability, and availability of data. Common pain points include difficulty locating existing tracking points, unclear semantics, and uncertain data quality.

The article outlines the roles and steps in the tracking workflow: business side proposes data requirements, data PM designs tracking schemes, RD implements tracking code, QA tests, data RD builds tables and dashboards, and business consumes the data.

To address these challenges, the logging platform provides three main layers of solutions:

Quality standards that define compliance criteria for tracking logs and support historical data migration and online rule supplementation.

An online end‑to‑end tracking process (requirement → design → review → development → testing → acceptance → launch) that improves collaboration and traceability.

A set of supporting tools that include:

The platform also introduces extended field types (objectstring, weaknumber, weakobject) to handle legacy logs that cannot be expressed with basic types.

Compliance is measured by the ratio of compliant logs to total logs, both globally and per business segment. Incremental compliance rates are calculated for new app versions to focus on recent tracking points.

Overall, the logging platform’s governance framework combines quality standards, an online workflow, and specialized tooling to improve both incremental and existing tracking data quality.