TemplateFREE⏱️ 15 minutes
Analytics Audit Template for Product Analytics
Audit your product analytics setup to find gaps in tracking, fix broken events, and ensure data quality across your entire measurement stack.
Updated 2026-03-04
Analytics Audit
| # | Metric | Target | Current | Progress % | Owner | Status | |
|---|---|---|---|---|---|---|---|
| 1 | 140 | ||||||
| 2 | 98 | ||||||
| 3 | 84 | ||||||
| 4 | 75 | ||||||
| 5 | 75 |
#1
140
#2
98
#3
84
#4
75
#5
75
Edit the values above to try it with your own data. Your changes are saved locally.
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Frequently Asked Questions
How often should I run an analytics audit?+
Quarterly is the right cadence for most teams. If you ship frequently (daily deploys), consider a lightweight monthly check on your top 10 events and a full audit each quarter.
What is a good analytics health score?+
Aim for 80/100 or above. Below 70 means you likely have metrics that are unreliable. Below 50 means critical business decisions are probably being made on flawed data.
Should I audit every single event?+
No. Focus on events tied to your core metrics first. A typical SaaS product has 50-200 events, but only 15-30 directly power the metrics your team reviews weekly. Audit those thoroughly and spot-check the rest.
Who should own the analytics audit?+
The product analyst or data team lead is the natural owner. But the PM should co-own the prioritization of fixes, since they understand which metrics matter most for upcoming decisions.
How do I get engineering time to fix tracking issues?+
Frame fixes in terms of business impact. "We cannot measure activation rate" is more compelling than "event X is broken." Use severity ratings from the audit to negotiate priority alongside feature work.
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