I'm Mack and I'm sharing a Chrome Extension I built to solve a huge bottleneck in data implementation: manually verifying if collected analytics data (GA4, Amplitude, etc.) matches the predefined log specifications. This QA process is time-consuming and prone to errors for developers, product managers, and data analysts alike.

Introducing Analytics Data QA Analytics Data QA is a Chrome DevTools extension that automatically validates your collected events against your uploaded log definition files. It turns hours of manual checking into seconds of automated verification.

Key Features Automated Log Validation: Instantly alerts you if an event parameter is missing, mismatched, or if the event structure deviates from your standards.

Visual Event Tracking: Organizes events by page and automatically captures a screenshot of the page where the events occurred, providing critical context for QA.

Recording & Diagnosis: Records the user actions that led to the event firing, making it simple to reproduce and diagnose issues.

Efficiency: Significantly reduces the time required for data implementation quality assurance.

Why Does it Require a Login? (Important Note) I understand the Hacker News community prefers tools without sign-up barriers. However, the tool requires a quick login for the following reasons:

The login is necessary for data security and efficient project management, as the tool handles sensitive log definition files and organizes verification results across different client projects.

Try it Out Instantly! To make testing easy, you can use the following temporary test account:

Temporary Test Email: [email protected]

Password: 1q2w3e4r

Please note: This is a shared test account for immediate feature testing. To secure your own project files, a dedicated sign-up is recommended later.

Chrome Web Store Link: https://chromewebstore.google.com/detail/icopicdkpapbeojapna...

This is an early stage project, and any feedback—positive or critical—on the usability, features, or overall approach to data QA is highly appreciated. Thank you!