It's time for our question of the week! We'd love to hear from the Community as a reply to this thread: ❓This week's question is: What is one mistake you made building in Workato that you'd save a new builder from?
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Honestly I am still very new to building with Workato, but I know there are a ton of users who are still learning how to use the platform, and more that would benefit from hearing what caused challenges to our more advanced users early on.
Building out workflows in one long recipe rather than creating shorter, reusable recipe functions that can be called from multiple "controller" recipes. For instance: retrieving a single record from a system is something that could be used by multiple controller recipes. I had one master "error handler" recipe that sent error notifications in slack; that was called by every single other recipe I wrote.
Hardcoding values in recipes. Use project settings! Project settings are especially useful for storing environment-specific variables, because you can have the same project settings across dev, staging, and production Workato environments and just change the values. Then the recipe doesn't have to be adjusted when it's promoted to a higher environment.
Use Batch processing wherever you can. Looping through every list to do the same job on each record can cost you thousands of tasks. Doing Upserts to databases in large batches has saved me so much time and resources.
Early in my Workato experience, I ran into many issues where I could not get my recipes to do what I wanted them to. I kept building and building and building in one recipe to try and solve the issue. Many ideas were abandoned due to frustration and lack of results. As said above, it's nearly impossible to troubleshoot and get reliable data with the “One Recipe to Rule them All” approach. I am much more successful now that I make those small pieces a callable 5-10 step recipe that can be easily troubleshot and solves one problem. The having a “Master” or “Controller” recipe that calls them all. Added bonus is that these small recipes can be used and called by anything else. Also Data Tables are amazing if you don't use them. Great tool to store data from each of these small steps that can be referenced from any other recipe.
A major mistake that was made in our environment was not made by me but was a lesson taught early on to me. Our Okta tenant had an issue happen and a large number of App Groups were imported into our tenant. This can cause duplicates between Okta and the App groups so we do all we can to prevent this from happening and purge them out of the tenant. Normal process goes to export all the groups, filter by the App Groups only and pump them into a script that deletes them in Okta. Well this person grabbed the unfiltered list and threw them into Workato recipe to delete. All app assignments started disappearing. Moral of the story is to include IF statements to ensure the data you want is being acted on and not blindly acting on data. Especially with deletes. An “IF Okta Group Type Equals App Group then delete” would have saved the user in this case.
Also test test test and test again. My testing methods usually vary from my managers (he hard codes to test), I make the recipe run in a real world scenario to see what actually happens. Having a dev app to run your tests against is good as well but isn't a luxury everyone can have. Also test again once in prod as sometimes dev and prod can have variations.
Early on, I built recipes that worked correctly but weren’t designed for scale. The biggest example was processing records one at a time inside loops, with an API call or action per record, and handling errors only at the end. It passed testing with small data, but in production it burned a huge number of tasks and was hard to debug when something failed. I later re-engineered one of our Service Appointment integrations. By moving from per-record actions to batch and bulk operations, using list operations and lookups instead of repeated calls, and restructuring the logic, I cut it from about 18,000 tasks per run to 8. I also redesigned the error handling with validation up front, structured logging and retries, which improved reliability. What I’d tell a new builder: before you build, estimate task volume at production scale. Prefer batch over loops, validate early, and design error handling and logging from day one, not as an afterthought. Rebuilding is far more expensive than designing it right the first time.”
Tips:
If the 18,000→8 change was a redesign of someone else’s recipe rather than your own early mistake, say so: “a pattern I also made early on and later fixed.”
Be ready to explain how you got to 8 tasks (batch actions, list operations, lookup tables, trigger design).
Keep it humble but end on what you learned and now do differently.
One mistake I’d save a new Workato builder from is focusing only on making a recipe work without considering its performance at scale. In one of my recent Salesforce integration use cases, we needed to process 100K+ records, but API limitations forced us to make individual API calls, resulting in longer execution times. We redesigned the architecture by introducing database enrichment and leveraging Salesforce Bulk API processing. The result? We processed 300K+ records in just 7 minutes using a single business action. My advice to new builders: Don’t just build for functionality—design for scalability, performance, and failure handling from day one. A recipe that works with 100 records should also be designed to handle 100K+ records efficiently. Sometimes, rethinking the entire architecture delivers far better results than optimizing individual recipe steps.
