How Much Review Time Does the Data Safety Inventory Need?

How to Use This Tool

Size evidence review for declared data flows before updating the Play Console form. A store declaration can drift from the released app when first-party features or third-party SDKs change how user data is collected or shared.

Why Data Safety Audit needs more than a raw total

A data-flow inventory multiplied by evidence time makes the recurring declaration review schedulable instead of a release-day questionnaire. For this page, the useful comparison is data-flow audit workload, not whichever input happens to be largest. The Data Safety Audit result answers the decision in the heading and should not be reused as a score for a different workflow.

The exact Data Safety Audit formula

Audit hours equal data flows requiring verification multiplied by average minutes per flow, divided by 60. The visible fields are Data flows requiring verification and Average verification time. For Data Safety Audit, read each printed unit before entry and make the values describe one transaction, cohort or reporting window. If those scopes differ, the displayed data-flow audit workload may be arithmetically valid but operationally meaningless.

Interpreting data-flow audit workload

Trace each current app and SDK flow, document collection, sharing and purpose, then have responsible privacy and engineering owners confirm the form. The ten-percent comparison is deliberately narrow: it tests the influence of data flows requiring verification and is neither a forecast nor a confidence interval. Preserve the values used, their dates and the resulting decision so a later reviewer can reproduce why Data Safety Audit supported the choice.

What this Data Safety Audit model leaves out

This is a workload estimate, not a compliance determination; it does not discover data flows or replace current Google policy and legal review. That is where Data Safety Audit stops being trustworthy. If an excluded factor could reverse data-flow audit workload, extend the model explicitly or use the authoritative account system instead of hiding the factor inside an unexplained adjustment.

Evidence and independent verification

The reference reviewed for Data Safety Audit is Google Play Console Help — Data safety section. Google Play Console Help — Data safety section supports the named definition or rule but does not supply private values for data-flow audit workload. Before acting on the result, reconcile the worked example with the relevant dashboard, invoice, export or measurement.

Private, reproducible calculation

Data Safety Audit runs its arithmetic in the current browser tab and requests no login or API key. That keeps the Data Safety Audit inputs away from the site's calculation server, while leaving the user responsible for detecting stale data or a changed platform rule. When an assumption changes, reopen Google Play Console Help — Data safety section and rerun the saved Data Safety Audit scenario.