How it works
Website analytics records selected visits and events to help understand how a site is used. Measurement design determines what questions the data can answer. Events, identity settings, time windows and privacy choices all affect the result; the report is not a complete observation of every person.
A realistic example
A glossary search event can show which terms measured visitors requested, while a form-success event shows completed requests. Logging every keystroke or message is unnecessary for these questions and could collect sensitive information.
What to check
Document the purpose of each event and verify it fires at the intended moment without duplication. Check test traffic, consent behaviour and reporting filters. Compare a known test journey with the resulting record before interpreting trends.
Limits and next steps
Do not equate visits with people or event counts with successful outcomes without checking definitions. Collect only justified information and keep access controlled. Use qualitative interface checks alongside reports, especially where low traffic or missing consent makes the data incomplete.