Highlights
- Addressing the struggle – 34% of Admins cite debugging Salesforce Flow as their biggest challenge when it comes to working with the tool.
- While building Flows can be learned relatively quickly, the true test of a Salesforce Admin is knowing how to debug Flows at scale.
- A systematic Flow debugging framework (like the one provided in the article) gives admins a solid foundation when it comes to debugging Flow consistently.
According to the recent SFBen Admin Survey 2026 Report, the biggest challenge for Salesforce Admins when working with Salesforce Flow is debugging. In other words, while building automations in the Flow Builder is challenging, fixing them is even more difficult.
There are many reasons for this. It may be that there’s more pressure working with automations that are already live, as you may cause in-flight problems for your users or delays in work getting done. It could be that debugging tools in Salesforce aren’t as helpful as they perhaps should be, or that many builders are not as familiar with the debugging options available to them.
And perhaps the most common reason of all – debugging can be confusing and needs a proper process that many Salesforce Admins aren’t aware of. In this article, I’ll be sharing my experience and the Flow debugging framework that I’ve used for years to keep my Flows in check.
Your Salesforce Flow Debugging Framework
Guess-and-check seems to be the go-to approach for debugging Flows in Salesforce. While this works, it’s not ideal. It’s certainly not a reliable method for debugging Flows in a properly designed, scalable enterprise environment. Realistically, you need a structured Flow debugging framework.
I’ve distilled my years of experience working with Salesforce Flow into a foundational three-step debugging framework for Flow that you can take, adapt, and use to your heart’s content. I want to highlight the word adapt there. As you get better at debugging Flows, you’ll find that there are extra steps or path variations that add value. Adjust this foundational framework to your liking.
Step 1: Confirm Flow Activation
You need to make sure that the Flow is actually firing when it should be. For Screen Flow, this is simple enough – does the Flow appear where it should? For Record-Triggered Flows, this may require some additional testing. Does the Flow run when certain changes are made to your records? Or is it not running when you expect it to? For Schedule-Triggered Flows, is it repeating regularly enough?
Autolaunched Flows are a beast because they can be called in so many different ways. You’ll need to make sure that the correct Flow is being called as a Subflow and that the Subflow element in a parent Flow is being followed.
An additional step here is to ensure that the Entry Criteria on Record-Triggered Flows are correct. It should run for every test scenario you’re expecting it to run on, and no more. This is why it’s also important to build negative tests when you’re debugging.
Your Entry Criteria should ensure that the Flow is only loaded into system memory when it needs to do something. If there is no need for that particular Flow to run, you should use Entry Criteria to ensure that the Flow isn’t loaded.
I often hear that Salesforce Admins will spend hours looking into the functionality within a Flow only to realize that it’s perfectly fine, just not firing when it should. This is a trap that I have also fallen into many times over the years!
Always check that the Flow is actually firing first, and that it’s not a simple case of it not running when it should. Only then should you dive into the Flow itself to check that it’s functioning as expected.
Step 2: Variable Tracking and State Management
Sometimes your Flows run into issues because the data that you expect to be a certain way is different from how it actually is. This may be because you’re trying to calculate values that have not yet been set, have been changed by another step in the Flow, or have simply not got a value at all.
This is where you’ll want to rely on both positive and negative tests again. Positive scenarios should perform a function where you expect that it should, and negative tests should have their errors handled or bypassed effectively. If you’re building a Record-Triggered Flow, consider the $Record variable carefully. Record-Triggered Flow can be set to run on create, update, or delete.
Notably, it can run on both create and update at the same time, yielding very different results. When you’re debugging an issue, make sure that you’re considering the context in which your Flow is running and the state of the data at the point where it is run.
This is where you’ll need to learn how to read the debug logs carefully in Flow Builder. Check to see, at each major step, what the current state of your data is. Check to see if it has been updated to an unexpected value prior to the step you’re trying to process. See if it’s actually been queried, or if you’ve forgotten to gather a critical piece of information.
Step 3: Fault Paths and Custom Flow Error Tracking
One of the most common ways you’ll find that there’s an issue with your Flow is by seeing the classic “an unhandled error has occurred” message somewhere in Salesforce. What this ultimately means is that something isn’t working, and that’s about as much information as you’re getting on the fly.
While you, the admin, can look into your logs to find more information, this isn’t an ideal message for your end users to be receiving. Additionally, you may find it valuable for yourself if you pass a more detailed error message between Flows (if you’re leveraging Subflows/modular Flow design).
Make sure that every possible Fault Path that can be added to your Flows is added and that you’re following a structured framework for error handling. Personally, I use a variant of what my colleague Andreea Doroftei offers in this article to be helpful and simple. As an absolute bare minimum, you should consider building the reusable Autolaunched Flow that the article outlines and rerouting every fault path to a single Subflow element that calls it. There’s a lot more you could do, but this is the bare minimum.
Modular Flow Design for Debuggability and Scalability
The more you build, the more opportunities for errors that you will inadvertently enable – that’s just the unfortunate downside of automating more. There are things that you can do to reduce the number of errors that you may face, and indirectly speed up your debugging by minimizing the need for it. After all, the key purpose of debugging is to identify and fix errors. By avoiding building the errors in the first place, you’ll bypass the need to debug them!
Build modularly. The days of gigantic, un-debuggable Flows are in the past. We now have the ability to use Subflows to extend functionality while still building smaller Flows. We also have Entry Criteria to ensure you can build smaller Flows for specific purposes that don’t impact your larger Flows.
When you do build modularly, consider that your errors may appear beyond just the current Flow. What I mean by this is that you may call a Subflow and have the error show up when executing the parent.
Give context to your elements and the errors themselves. Use consistent naming conventions for your Subflows that make it clear where the errors stem from. For example, you could consider appending a SUB_ prefix to Flow elements in Flows that are designed to be Subflows, making related errors easier to spot when they’re hit from the parent Flow.
Summary
Debugging Flows is nothing to be afraid of! Let’s be real: it’s not the part of Flow building that we look forward to, but it’s as critically important as any other step. You need to master Flow debugging just as much as any other area of developing Flows.
Remember that the simplest way to make debugging your Flows easier is by designing them so they don’t break in the first place. Learn from your mistakes, document some build patterns that work for you, and don’t leave your Flow errors unhandled!
What is your experience with Flow debugging? Have you picked up some handy tips or tricks you could offer the wider Salesforce community? If you have, please share this article along with your own suggestions on social media!
