Synthetic monitoring is a performance monitoring method that uses automated scripts to simulate user actions, such as logging in, searching, checking out, or calling an API. It helps teams detect uptime, speed, and functionality issues before real users experience them.
This makes synthetic monitoring especially useful for websites, apps, APIs, and digital services that need to stay available across locations, devices, and browsers. It does not replace real user feedback or real user monitoring, but it gives teams an early warning system for critical journeys.
For businesses in the USA, where customers often expect fast and reliable digital experiences, this monitoring can help businesses catch problems before they affect conversions, support volume, or customer trust.
What is synthetic monitoring?
Synthetic monitoring is active monitoring that runs scheduled tests with simulated users. These tests check whether a website, app, API, or service is available, responsive, and working as expected.
Unlike real user monitoring, it does not wait for real users to visit your site or app. It uses scripted transactions to test important actions before customers run into issues.
A synthetic test may check whether a user can:
- Load a homepage
- Log in to an account
- Search for a product
- Add an item to a cart
- Complete checkout
- Submit a form
- Call an API endpoint
- Access a key dashboard
IBM defines this as a method developers use to simulate user actions through an application to test its functionality. This is useful because businesses can find and fix issues before they affect customers.
How does synthetic monitoring work?
Synthetic monitoring works by running automated tests that imitate selected user journeys or technical checks. These tests run on a schedule and report whether the application is available, fast, and functioning correctly.
A simple process includes:
- Choose a journey or endpoint to test: Select important paths such as login, checkout, signup, search, or API response.
- Create a script or check: Build a scripted test that performs the same steps a user or system would take.
- Run tests from selected locations: Test from different regions, devices, browsers, or networks.
- Compare results against baselines: Use normal performance levels as a reference point for response time, page load time, and availability.
- Trigger alerts when issues appear: Notify IT, DevOps, engineering, or operations teams when performance drops or a test fails.
- Review reports and trends: Look for recurring failures, slow pages, regional issues, or performance regressions.
Synthetic monitoring is useful because it creates repeatable tests. If a checkout test passes every 10 minutes and suddenly fails, the team has a clear signal that something changed.
Synthetic monitoring vs real user monitoring: what is the difference?
Synthetic monitoring and real user monitoring are both used to understand digital performance, but they measure different things. Synthetic monitoring uses scripted tests. Real user monitoring, or RUM, captures performance data from actual user sessions.
| Method | What it does | Best for |
| Synthetic monitoring | Simulates user journeys with scripted tests | Finding issues before users are affected |
| Real user monitoring | Captures real user sessions and performance data | Understanding real-world user experience |
Synthetic monitoring is useful when you need to test critical journeys even when no users are active. RUM is useful when you need to understand how real users experience your application across devices, browsers, and network conditions.
The best monitoring strategy often uses both. Synthetic monitoring can warn businesses early. RUM can confirm how issues affect actual users.
What are the main types of synthetic monitoring?
The main types are uptime monitoring, web performance monitoring, and API monitoring. Each type checks a different part of application performance.
1. Uptime monitoring
Uptime monitoring checks whether a website, application, server, or service is available. It usually runs simple checks at regular intervals and sends alerts when a service is down or unreachable.
Best for: availability checks, downtime alerts, and critical service monitoring.
Example: A test checks every five minutes whether your homepage loads successfully.
2. Web performance monitoring
Web performance monitoring checks how fast and reliably web pages load. It can measure page load time, response time, rendering issues, and whether important page elements appear correctly.
Best for: website speed, user journey testing, and digital experience monitoring.
Example: A test simulates a user opening a pricing page, searching for a product, or completing a checkout flow.
3. API monitoring
API monitoring checks whether application programming interfaces, or APIs, respond correctly and quickly. An API is a connection that lets software systems exchange data or trigger actions.
Best for: API availability, response time, status codes, and workflow validation.
Example: A test calls a payment API and confirms that the response is correct and returned within the expected time.
API monitoring may also include HTTP tests, SSL checks, DNS checks, and multi-step API workflows.
What are the benefits of synthetic monitoring?
Synthetic monitoring helps teams detect issues early, test important journeys, and reduce the risk of poor digital experiences. It is especially valuable for applications where downtime or slow performance can affect revenue, support volume, or customer trust.
Key benefits include:
- Detect issues before users report them: Scheduled tests can catch failures before customers open support tickets.
- Monitor uptime and availability: Teams can track whether key pages, services, and APIs are reachable.
- Test critical user journeys: Synthetic tests can check signup, login, checkout, search, or form submission.
- Compare performance across locations: Tests can show whether users in different regions may experience slower performance.
- Support faster troubleshooting: Alerts and reports help teams identify where a failure happened.
- Improve digital experience: Teams can use performance patterns to fix slow or unreliable journeys.
Synthetic monitoring works best when teams focus on the journeys that matter most. Testing every possible path is not realistic. Testing the most important paths is where the value comes from.
What are the challenges of synthetic monitoring?
Synthetic monitoring has limits. It is useful, but it does not show every real user condition or every possible path through an application.
Common challenges include:
- Scripts can break when the interface changes: A small UI change can cause a scripted transaction to fail.
- Setup can take time: Multi-step tests often require planning, scripting, and maintenance.
- False alerts can create noise: Poorly configured thresholds can alert teams when there is no real issue.
- Tests may miss real user conditions: Synthetic tests cannot capture every device, browser, network, or behavior pattern.
- Maintenance is ongoing: Tests need updates as applications, workflows, and business priorities change.
Synthetic monitoring should not be the only signal. Pair it with RUM, product analytics, logs, customer feedback, and support data for a more complete view.
How do you get started with synthetic monitoring?
Begin with the most important user journeys and technical endpoints. Do not try to monitor everything on day one.
A practical starting process looks like this:
- List your critical journeys: Focus on login, checkout, signup, search, payment, form submission, or API workflows.
- Choose what to measure: Track availability, response time, page load time, error rate, and transaction success.
- Select test locations: Choose regions where your customers or internal teams are active.
- Set alert thresholds: Define when the team should be notified, such as downtime, slow response, or repeated test failure.
- Create reports: Track trends over time instead of reacting only to one-off failures.
- Review and update tests: Update scripts when your app changes.
When evaluating monitoring tools, look for ease of use, scheduling options, location testing, browser testing, API testing, alerting, reporting, and integrations with your existing incident management tools.
How can QuestionPro support synthetic monitoring insights?
QuestionPro can support synthetic monitoring insights by helping teams collect real user feedback about website, app, or service experiences. This feedback can be compared with synthetic monitoring data to understand whether scripted tests match what users actually feel.
For example, a synthetic test may show that a checkout page loads successfully. But a user experience survey may reveal that customers still find the checkout flow confusing or slow. Together, monitoring data and user feedback give teams a clearer picture.
Teams can use QuestionPro to collect feedback through:
- Website feedback surveys
- User experience surveys
- App experience feedback
- Customer satisfaction surveys
- Feature pain point surveys
- Internal IT feedback on monitoring tools
QuestionPro should not replace synthetic monitoring platforms. Instead, it can add the human feedback layer that synthetic tests cannot capture on their own.
Final thoughts
Synthetic monitoring helps teams test digital experiences before real users run into problems. It uses scripted tests to check availability, performance, and functionality across important journeys.
The strongest use cases are simple and practical: monitor uptime, test checkout, check login, validate APIs, and catch performance changes early.
Synthetic monitoring works best when it is combined with real user monitoring and customer feedback. Scripted tests can show whether a journey works. Real users can tell you whether the experience actually feels smooth, clear, and reliable.
Frequently Asked Questions (FAQs)
Synthetic monitoring is a way to test websites, apps, or APIs using automated scripts that act like users. These tests check whether important journeys work correctly before real users experience a problem.
No. Synthetic monitoring uses simulated user journeys. Real user monitoring captures data from actual user sessions. Synthetic monitoring is better for early detection, while real user monitoring shows what real users experience.
It tracks critical journeys, availability, response time, page load time, transaction success, API responses, and error rates. The best starting point is any workflow that directly affects revenue, support, or customer experience.
Examples include checking whether a homepage loads, testing a login flow, simulating checkout, submitting a form, running API checks, or testing performance from different geographic locations and browsers.
Synthetic monitoring cannot capture every real user condition. Scripts can break when the interface changes, false alerts can create noise, and tests may miss unexpected user behavior. It works best with real user monitoring and feedback.
