Yardi Testing

Pragya Yadav

What is Yardi, and Why Testing It Matters

Yardi is a widely used ERP platform in the real estate industry. It’s used by property managers, real estate companies, and asset managers to handle day-to-day operations like leasing, accounting, rent collection, and reporting. Products like Yardi Voyager bring multiple functions together into a single system, which is why many organizations rely on it as a core part of their business.

• A mistake in lease setup can affect billing.
• A problem in charge posting can lead to incorrect financial reports.

And since different teams – leasing, finance, operations – are all working in the same system, errors don’t stay isolated for long.

That’s what makes testing Yardi different from testing a typical web application. You’re not just validating screens or individual features. You’re making sure that workflows tied to real money, tenants, and contracts behave correctly from end to end.

In most cases, teams aren’t testing Yardi just to “check functionality.” They’re doing it to avoid downstream issues – incorrect charges, reporting discrepancies, or operational delays – that are much harder to fix once they reach production.

Why Yardi Testing Feels Different From Typical Applications

If you’ve worked on testing standard web applications, Yardi can feel unfamiliar pretty quickly. It’s not just another UI with predictable flows. The way it behaves in real projects introduces a different set of challenges.

One of the main differences is how often things change. Yardi environments are usually customized, and even small upgrades can affect layouts, field labels, or navigation paths. Tests that worked fine in one version may need updates in the next, even if the core functionality hasn’t changed.

Another factor is how workflows are structured. Most actions in Yardi are not isolated. A single task, like creating a lease, feeds into other processes such as charge posting, reporting, and accounting. If something goes wrong early in the flow, it can affect everything that comes after it.

That makes end-to-end validation more important than testing individual screens.

You’ll also notice that different modules don’t always behave the same way. Navigation, screen structure, and user interactions can vary depending on the part of the system you’re working in or how the environment is configured. That inconsistency makes it harder to rely on rigid automation approaches.

Put together, these factors make Yardi less about testing individual features and more about validating complete business workflows. And that’s where many teams start to feel the limitations of their existing testing approach.

Common Challenges in Yardi Testing

• UI Changes and Maintenance Overhead: Yardi environments tend to evolve. Upgrades, configuration changes, or even small UI tweaks can affect how screens behave. If your tests depend heavily on technical locators, you’ll end up fixing them often. Over time, maintenance becomes a bigger effort than writing new tests.
• Complex Test Data Setup: Yardi workflows depend on data being in the right state. You can’t test lease creation without properties, tenants, and financial setups already in place. Getting that data right and keeping it consistent across test runs takes effort.
• End-to-End Workflow Dependencies: Most Yardi processes are connected. Creating a lease isn’t just one step – it feeds into charges, payments, and reporting. If one part of the flow breaks, everything downstream is affected. This makes isolated testing less useful and increases the need for full workflow validation.
• Handling Dynamic Screens and Embedded Components: Different parts of Yardi can behave differently depending on the module or configuration. Screens may load in separate windows, follow different interaction patterns, or change based on user roles. This variability makes it harder for traditional automation tools to interact with the application in a consistent way.
• Limited Visibility in Customized Environments: No two Yardi setups are exactly the same. Customizations, integrations, and configuration differences mean that behavior can vary across environments. That makes it harder to rely on generic test cases or assumptions, especially when debugging failures.

How testRigor Approaches Yardi Testing Differently

One of the main reasons Yardi automation becomes difficult over time is the way most tools interact with the UI. They depend on technical details, like element IDs, XPath, or CSS selectors, that tend to change whenever the UI is updated.

testRigor takes a different approach. Instead of focusing on how an element is built in the DOM, it focuses on what the user is trying to do.

Click //input[@id='ctl00_Main_txtLease']

“Enter lease number into Lease field”

Why this matters in Yardi

Tests are Less Prone to Breakage Due to UI Updates

In Yardi, UI structure can change across versions or configurations, but the intent of the action usually stays the same. A leasing manager will still look for a “Lease” field, even if the underlying implementation changes.

Easier to Involve Non-Technical Users

Another practical advantage is that tests don’t need to be written in code. Business users, like property managers or QA analysts, can understand and even contribute to test cases.

That becomes useful in Yardi projects, where domain knowledge matters as much as technical skill. The people who know the workflows best can help define and review tests without needing to understand automation frameworks.

Less Time Spent on Maintenance

In many Yardi automation setups, a significant amount of time goes into fixing broken tests after UI changes. By focusing on intent rather than implementation details, the effort required to maintain tests tends to go down.

This doesn’t eliminate all maintenance, but it reduces the frequency of small fixes that add up over time.

Automating Yardi Workflows

Since testRigor is able to test the intent without relying on implementation-level details of UI elements, it becomes much easier to automate the different Yardi workflows. Instead of telling the tool how to find an element, you describe what the user is doing.

enter “John Smith” in “tenant name”
click “Save lease”

Because the test is based on visible labels and user actions, it’s less sensitive to UI changes.

• Tests are less tied to the underlying UI structure
• Small UI updates don’t immediately break automation
• Test steps are easier to read and review

Read more about easy test creation with testRigor over here: All-Inclusive Guide to Test Case Creation in testRigor

Tips for Automating Yardi Workflows

Go for the high ROI workflows that are business-critical, repeated every release, and are painful to test manually.

• Lease creation and modification
• Rent and charge posting
• Move-in / move-out workflows
• Invoice generation
• Key financial reports validation

• Rare admin screens
• One-off configuration pages
• Highly customized edge workflows

Handling Multi-Screen Flows Without Adding Complexity

Yardi workflows don’t always stay on one screen. Actions can open in new windows, pop-ups, or follow slightly different paths depending on configuration.

• Switching context manually
• Writing extra logic for window handling
• Tests break when the flow changes

With testRigor, you don’t need to manage those technical details directly.

switch to tab "1"
check that page contains "Details Updated Successfully"

The tool handles the underlying context, so the test stays focused on the workflow.

Read more about how testRigor manages context: How testRigor Uses AI to Understand Context

Managing Test Data Without Breaking Tests

• The tenant already exists
• The lease is missing
• The system is in an unexpected state

• Conditional logic to check if data already exists
• Create or reuse entities dynamically

For example, if tenant John Smith does not exist, create tenant John Smith.

Read more about this over here: How testRigor Handles Dynamic Data

Validating Financial Workflows Without Overengineering

Yardi testing often involves financial data – charges, payments, and reports. This is where teams tend to overcomplicate automation.

• Exact formatting
• Full report layouts
• Every UI detail

That makes tests fragile and hard to maintain.

With testRigor, it’s more practical to focus on what actually matters.

• “Verify total rent amount is 12,000”
• “Verify status is Posted”

• Focused on business outcomes
• Less sensitive to UI changes
• Easier to maintain over time

Take a look at testRigor’s AI-based testing feature: Actions and Validations using AI in testRigor

Building a Regression Suite That Doesn’t Become Unmanageable

• Takes time
• Creates noise when failures happen
• Slows down feedback

testRigor makes it easier to organize tests based on priority.

• Smoke tests → a few critical workflows (leases, charges)
• Core regression → main business flows
• Extended coverage → run less frequently

Because tests are easier to maintain, this structure actually holds up over time.

When testRigor May Not Be the Right Fit

It’s worth being clear about this – no tool fits every use case.

• Deep API or Backend Validation: If your focus is on validating backend financial logic through APIs or database-level checks, a UI-focused approach won’t cover everything. testRigor can validate outcomes through the UI, but it’s not designed to replace deep backend testing.
• Highly Customized or Non-Standard UI Behavior: Some Yardi environments include heavy customizations where labels are inconsistent or UI behavior changes significantly. In those cases, even intent-based automation can require extra handling.
• Teams are Already Satisfied With Their Setup: In some cases (though not common), teams already have achieved stable automation, low maintenance overhead, and good coverage. If that’s working well, switching tools may not add much value.

However, in most real Yardi environments, though, UI volatility makes testRigor a safer long-term bet.

How Teams Can Measure Success in Yardi Automation

One mistake teams make is tracking the wrong metrics. Things like the number of test cases or lines of automation code will not show the correct picture.

• Reduction in regression testing time Are releases faster to validate?
• Test stability across upgrades Do tests continue to work after changes?
• Less time spent fixing tests Is maintenance going down?
• Confidence before release Do teams trust the results?

Where testRigor Fits in

• Fewer broken tests after UI updates
• Faster test creation and updates
• More consistent regression runs

testRigor supports automating across platforms and browsers, while allowing for end-to-end, functional, UI, API, and basic database testing, all in plain English. You can cover various scenarios occurring in modern web, mobile, and desktop applications like logging in using 2FA, email verification, switching between multiple tabs, handling AI features like chatbots, LLMs, or graphs, working with tables and files, and much more.

The result isn’t just more automation, it’s automation that actually holds up over time.

Conclusion

Yardi automation is challenging, not because the system is complex, but because the UI changes frequently. Trying to manage that volatility with traditional, locator-heavy automation leads to constant maintenance and limited ROI.

testRigor addresses this by shifting the focus from UI mechanics to user intent. By starting with high-risk workflows, writing tests in business language, and treating test data as a core part of the strategy, teams can build automation that survives Yardi upgrades and actually supports releases. Just as important is knowing what not to automate, so effort is spent where it delivers real value.

If your Yardi tests feel brittle and expensive to maintain, the biggest improvement often comes from changing the approach – not just switching the tool.

“We spent so much time on maintenance when using Selenium, and we spend nearly zero time with maintenance using testRigor.”

Keith Powe VP Of Engineering - IDT