Choose a small set of routes and outcomes
Before launch, identify the pages and tasks that matter most: priority service routes, enquiry forms, account access, checkout or a migration path. Record a baseline where available and state what would trigger investigation. Without a baseline, avoid claiming that a change improved performance or conversion.
Assign one owner to check each area and note the time window. Monitoring can use browser checks, provider logs, Search Console, analytics or user reports, but each source answers a different question. A page returning HTTP 200 does not prove that its form or content works.
Set the cadence by risk and change: repeat important user journeys after a release or integration update, use automated alerts for continuous availability signals, and schedule proportionate spot-checks for lower-risk routes. That sets an explicit routine without asking someone to test every page every hour.
Check the visitor journey, not only uptime
Repeat the highest-value journey on a mobile device and a desktop browser: arrive at the page, understand the offer, use the primary action and reach the expected confirmation. Review critical links, images, navigation, accessibility feedback and any third-party embed on the route.
For forms, confirm that a synthetic submission reaches the right destination and that the response is useful. For commerce, use the confirmed test-order process rather than making an unplanned live purchase. Record detail and remove or label test records according to the operating procedure.
- Availability and response errors on priority URLs
- Navigation, links and primary actions
- Form, CRM or checkout completion
- Analytics event and source attribution checks
- Mobile layout, images and interaction stability
Set triggers and an adaptable first-month schedule
For example, after a fictional ecommerce checkout change, run the confirmed test order on release day, check one synthetic checkout on each of the next three working days, then review it weekly for the rest of the month if the risk and available team capacity justify that cadence. Keep automated availability alerts running where they are already configured. This is an example to adapt, not a universal schedule.
Investigate a failed test order, a priority route returning an unexpected server error, or a missing confirmation that the test is meant to produce. Record the date, route, expected result, observed signal, owner, action and verified outcome. If no comparable baseline or reliable measurement exists, record that limitation rather than claiming improvement.
| Timing | Example check | Trigger to investigate |
|---|---|---|
| Release day | Run one confirmed synthetic order and verify the expected confirmation. | Order fails, confirmation is missing or priority route errors. |
| Next three working days | Repeat the same synthetic journey once per day; review configured availability alerts. | A repeatable failure, unexpected route error or missing alert signal. |
| Weekly to day 28, if risk warrants | Review order-path reports and any customer or staff issue reports. | A new issue, recurring failure or unresolved incident without an owner. |
Review crawl and publication signals after structural changes
If routes, canonicals or internal links changed, inspect the live sitemap, robots directives, redirects and relevant Search Console reports. Google documents crawl-error reporting as a way to investigate access problems; distinguish a temporary crawl issue from a page that is intentionally removed or blocked.
Do not submit ordinary articles through Google's Indexing API: its current documentation limits it to pages with `JobPosting` or `BroadcastEvent` in a `VideoObject`. A sitemap can help discovery, but Google does not guarantee that every listed URL will be published. Record which inspection tools were available and when they were checked. If an account is inaccessible, mark that data as unavailable rather than reporting zero errors.
Separate field performance from one-off lab scores
Use the performance data the site actually collects. A single lab run can help identify a regression, while field data describes actual visits over an applicable measurement window. Google PageSpeed Insights reports trailing 28-day field data when enough samples exist; a recently published or low-traffic URL may show origin-level data or no field data. Compare similar devices, routes and conditions; do not treat a score from one test as a universal description of the site.
Prioritise fixes by user impact and route importance. Check large images, scripts, layout movement, fonts and third-party services, then repeat the same measurement method where possible.
Close the first month with an issue and ownership review
Keep a dated log with the signal, affected route, severity, owner, investigation and verified outcome. Note whether a change was deployed and whether the issue recurred. Use the record to decide which checks become routine and which can stop once launch risk has passed.
A monitoring plan does not prove that every visitor had a good experience. It makes important failure signals visible and gives the team a defined way to respond after the release.