Assert Like You Mean It: How To Validate Outcomes in Synthetic Tests

Key Takeaways

  • Validate the actual outcome of a journey, not just the clicks or that a page loaded. Assertions confirm whether your app truly behaved as expected.
  • Use assertions to check what users actually rely on, like a search result, login confirmation, or cart contents..
  • When assertions are well-crafted to validate real outcomes at the right points, you avoid false confidence, cut noise, and give responders signals they can act on.

Most synthetic tools can already alert you when a page times out, fails to load, or throws a 4xx or 5xx error. But that is not enough. If you want synthetics to be a reliable signal in your observability toolbelt, you need to validate outcomes, not just page loads.

Assertions give your test the power to confirm that the workflow actually succeeded, not just that a page rendered.

This article explains Best Practice #2 in the Getting Synthetics Right Series: Assert Like You Mean It.

Key terms in Splunk browser synthetics

Before we dive in, here are a few terms you will see throughout this article:

With those basics, we can now talk about how assertions fit into your tests.

Why assertions matter in browser synthetics

The word “assert” usually means to state a fact confidently. In the context of synthetic browser tests, an assertion is a step you add to your test that verifies whether the expected outcome occurred. It’s an explicit check.

Assertions can check for things like text, elements, or visibility states on the page. They can also confirm that error conditions did not appear. Think of them as truth checks that turn a basic page-load test into a workflow validation.

Examples

Without assertions, you are left with only surface-level checks: did the page load or not? With assertions, you gain confidence that what users expect has actually happened.

Why this matters

Many teams stop at navigation checks (click → load → pass/fail). But:

Assertions flip the script. They make your synthetic failures actionable by ensuring they line up with actual business outcomes.

Putting it into practice: How to assert for strong synthetic tests

1. Be intentional about what you assert

Not every step needs an assertion, but every transaction should have at least one. Think about the definition of success from the end-user perspective.

2. Make precise assertions

Do not assert for something so generic that it could appear anywhere. For example, if you work for Buttercup Retail, the word “Buttercup” might show up in the header, footer, or every template. That is not proof the login worked.

Instead, assert for something unique to the outcome, such as:

3. Choose the right type of assertion

Splunk Observability Cloud supports multiple assertion types. Each can be used to confirm (or negate) an outcome:

Assertion Type
Description
Example Use Case
Text present / not present
Confirms whether specific text appears on the page
Validate “Welcome ” is visible after login. Ensure “Error” message does not appear
Element present / not present
Checks if a given DOM element exists
Confirm a “Checkout” button is displayed after adding to cart
Element visible / not visible
Ensures an element is interactable (not hidden)
Validate that the “Submit” button is available. Confirm that a loading spinner has disappeared

Pro-tip: Pick assertions that are both specific and stable. Use something unique to the transaction outcome, not generic text that might appear elsewhere on the page.

Assertions in Splunk run results

Splunk Observability Cloud highlights assertions directly in the run results filmstrip with assertion watermarks. You can also filter the playback by transaction, page, or step.

This is extremely useful when troubleshooting a failed test:

The combination of step-level playback and assertion watermarks means you not only know a test failed, you know why it failed and exactly where to start investigating.

Pro-tip: Save screenshots or short clips of assertion failures into your incident tickets or runbooks so on-call responders have instant context when alerts fire.

4. Use assertions before and after steps

Most people think of assertions as after-the-fact checks such as logging in and then asserting the overview page loads. That is important, but assertions can also be used before executing a step:

Pro-tip: Pre-validations are especially helpful for preventing brittle tests. If the element you are about to interact with is not actually available, the test fails for a clear reason instead of generating a noisy timeout or misleading error.

The best assertions validate not just the UI but the underlying service response.

Splunk makes this powerful by linking synthetic spans to APM traces, letting you drill into the backend call behind your assertion if it fails, making troubleshooting effortless.

Call to action: Asserting for success

Assertions are the difference between a test that runs and a test you can trust. By validating real outcomes at the right points, you avoid false confidence, cut noise, and give responders signals they can act on.

Next step: Review one of your synthetic browser tests. Does it only confirm navigation, or does it validate the actual business outcome? Add one meaningful assertion, pre or post, and watch how much more valuable the signal becomes.

Try it for yourself: Start your free trial of Splunk Observability Cloud and add outcome-based assertions to your tests today.

Related Articles

What the North Pole Can Teach Us About Digital Resilience
Observability
3 Minute Read

What the North Pole Can Teach Us About Digital Resilience

Discover North Pole lessons for digital resilience. Prioritise operations, just like the reliable Santa Tracker, for guaranteed outcomes. Explore our dashboards for deeper insights!
The Next Step in your Metric Data Optimization Starts Now
Observability
6 Minute Read

The Next Step in your Metric Data Optimization Starts Now

We're excited to introduce Dimension Utilization, designed to tackle the often-hidden culprit of escalating costs and data bloat – high-cardinality dimensions.
How to Manage Planned Downtime the Right Way, with Synthetics
Observability
6 Minute Read

How to Manage Planned Downtime the Right Way, with Synthetics

Planned downtime management ensures clean synthetic tests and meaningful signals during environment changes. Manage downtime the right way, with synthetics.
Smart Alerting for Reliable Synthetics: Tune for Signal, Not Noise
Observability
7 Minute Read

Smart Alerting for Reliable Synthetics: Tune for Signal, Not Noise

Smart alerting is the way to get reliable signals from your synthetic tests. Learn how to set up and use smart alerts for better synthetic signaling.
How To Choose the Best Synthetic Test Locations
Observability
6 Minute Read

How To Choose the Best Synthetic Test Locations

Running all your synthetic tests from one region? Discover why location matters and how the right test regions reveal true customer experience.
Advanced Network Traffic Analysis with Splunk and Isovalent
Observability
6 Minute Read

Advanced Network Traffic Analysis with Splunk and Isovalent

Splunk and Isovalent are redefining network visibility with eBPF-powered insights.
Conquer Complexity, Accelerate Resolution with the AI Troubleshooting Agent in Splunk Observability Cloud
Observability
4 Minute Read

Conquer Complexity, Accelerate Resolution with the AI Troubleshooting Agent in Splunk Observability Cloud

Learn more about how AI Agents in Observability Cloud can help you and your teams troubleshoot, identify root cause, and remediate issues faster.
Instrument OpenTelemetry for Non-Kubernetes Environments in One Simple Step
Observability
2 Minute Read

Instrument OpenTelemetry for Non-Kubernetes Environments in One Simple Step

The OpenTelemetry Injector makes implementation incredibly easy and expands OpenTelemetry's reach and ease of use for organizations with diverse infrastructure.
Resolve Database Performance Issues Faster With Splunk Database Monitoring
Observability
3 Minute Read

Resolve Database Performance Issues Faster With Splunk Database Monitoring

Introducing Splunk Database Monitoring, which helps you identify and resolve slow, inefficient queries; correlate application issues to specific queries for faster root cause analysis; and accelerate fixes with AI-powered recommendations.