Events exist ≠ implemented correctly
Just because an event fires doesn't mean it's attached to the right interaction in the right flow. Without flow-level validation, you're flying blind.
Interaction on Cart Screen
Your analytics stack is missing a governance layer. Events fire without structure, QA is manual, and nobody knows if tracking matches the original spec.
Just because an event fires doesn't mean it's attached to the right interaction in the right flow. Without flow-level validation, you're flying blind.
Static documentation in Google Sheets or Notion drifts from reality instantly. There's no link between your spec and your production code.
Manual QA in browser DevTools is slow, error-prone, and completely disconnected from your tracking plan. It costs teams 40+ hours per month.
"Who broke tracking?" discussions shouldn't happen. A proper governance system catches issues before they hit production.
From signup to verified tracking — in a structured workflow that replaces spreadsheets, Slack threads, and manual QA.
Version 2.4.0 • Connected
Visual overlays. Smart click planning. Flow matching. QA status updates happen automatically as you browse your site — no more switching between DevTools and spreadsheets.
The TrackCheck Chrome Extension intercepts analytics events in real-time, matches them to your tracking plan, and validates parameters — all without leaving your browser. It's like having an automated QA engineer watching every click.
Companies spend thousands per month on manual event verification and spreadsheet-based tracking plans. See how much your team can save with TrackCheck.
50% time reduction
Every sprint, QA engineers spend a full day manually verifying event implementations — opening DevTools, clicking through flows, checking parameters. TrackCheck automates this with intelligent event scanning.
60% faster with AI Flows
Product teams spend hours every month manually designing event specs in Google Sheets or Notion — mapping flows, naming events, defining parameters. TrackCheck's AI Flow Intelligence automates this entire workflow.
QA Event Verification: QA engineers typically spend about 8 hours per sprint (~16 hrs/month) manually verifying analytics event implementations — clicking through flows, opening DevTools, checking parameters, and cross-referencing tracking plans. Based on a standard biweekly sprint cycle with one full QA day dedicated to event verification. Average QA engineer compensation of $45/hr is based on US market data from Glassdoor and Built In (2025).
Tracking Plan Design: Product managers spend approximately 15 hours per month designing tracking specifications — mapping user flows, naming events, defining parameters, and maintaining documentation in spreadsheets or Notion. The 60% efficiency gain reflects the time saved by using AI-powered flow intelligence to auto-generate event specifications from Figma designs or product context. Average PM compensation of $65/hr is based on US market data.
50% QA Reduction: TrackCheck's Chrome Extension with automated event scanning, visual overlays, and flow-level validation replaces manual DevTools-based QA. Similar automation tools have demonstrated 50-94% reduction in verification time (QA.tech, Checksum.ai benchmark reports).
Google Analytics shows data. Notion documents it. TrackCheck governs it.
| Capability | Google Analytics | Notion | GTM Preview | Excel / Sheets | TrackCheck |
|---|---|---|---|---|---|
| Live event visibility | |||||
| Flow-level architecture | ⚠ Manual | ⚠ Manual | |||
| Interaction-level QA | |||||
| Automated click validation | |||||
| Drift detection | |||||
| Collaboration | ⚠ Basic | ||||
| Real-time GA4 sync | |||||
| Health alerts | |||||
| AI event drafting | 🚀 |
TrackCheck is built on enterprise-grade infrastructure with security, isolation, and compliance at every layer. Your analytics data stays safe.