How to automatically test your website's critical customer journeys

There is a category difference between is the site up and can a customer still buy. Almost all website monitoring answers the first question, which is easy to measure and rarely the one that costs you money.

Start free - add your first site Watch it work (2 min)

The gap between up and working

A website is not a document that is either served or not. It is a set of paths people take, and every one of them can break while the server behaves perfectly.

Uptime monitoring measures the response. Real user monitoring measures the people who arrived, so it tells you about a break after enough customers have hit it. Neither is watching the journey itself, continuously, whether or not anyone is on the site.

That is the gap. The failures that cost the most - broken checkout, dead form, unusable booking - all return 200 the entire time.

Why teams do not already do this

Most know they should. The reason they do not is cost of maintenance: writing Playwright or Cypress scripts is a day's work per journey, and keeping them passing through every redesign is a permanent tax. Suites like that are abandoned more often than they are finished.

So the honest question is not whether journey testing is valuable. It is whether it can be made cheap enough to survive contact with a real roadmap.

How SiteOps handles it

Four steps, none of which involve writing a test script.

Describe the journey in a sentenceNo selectors, no code, no framework. The AI opens your site and finds the controls itself.

Watch it build, and correct it if neededThe build streams live. If it takes a wrong turn you see it immediately rather than discovering it in a false alert next week.

Replays are deterministicThe AI is used at build time only. The scheduled run replays the saved path with no model in the loop, so results are stable and repeatable.

Drift is surfaced, not silently repairedIf your site changes and a control moves, that is raised as a review item with a one-click fix. Auto-healing quietly would hide a real change to your site from you.

What it does and does not do

Commit actions are never fired. Payment, booking confirmation and order placement are walked to and halted at.
Bot protection can block it, like any automated client. If it is stopped by a WAF, it says so instead of reporting a false failure - and it can be allow-listed.
It is not a load test. It tells you whether a journey works, not how it behaves under traffic.

Common questions

How is this different from Playwright or Cypress?Same idea, different cost. Those need a developer to write and maintain a script per journey. Here you describe the journey and the AI builds it, then the schedule runs it. The maintenance burden is what stops most teams doing this at all.

Do the journeys break every time we redesign?Changes are detected and raised for review with a suggested fix, rather than either failing silently or repairing themselves behind your back.

How often do journeys run?Between every 30 minutes and every 5 minutes depending on plan, and you set the cadence per journey - a checkout can run far more often than a contact form.

What do I actually get when something breaks?An incident that says what happened, the likely cause, what to do next, and the impact - with a screenshot of the page at the moment it failed. Not a stack trace.

Checkout monitoringHow to detect a broken checkout before your customers do Regression monitoringHow to catch website changes that break your customer journeys Booking monitoringHow to monitor a booking journey automatically In the docsMonitoring your sites - the three layers

Find out before your customers do

Add your site, describe one journey, and let it run. Free, no credit card.

Start free