**Understanding the Workflow** Before you begin debugging, it's important to have a thorough understanding of the workflow you created. Break down each step and ensure you know what the expected outcome is supposed to be. Keeping detailed documentation can be helpful as well.   **Check for Errors** Bubble.io often highlights errors in your workflow. Look for any red indicators or warning icons. Hover over these indicators to see detailed messages about what might be wrong. This could include broken references, missing elements, or incorrect configurations.   **Use Debug Mode** Bubble.io provides a debug mode that allows you to step through workflows in real-time. When you preview your app, append `?debug_mode=true` to the URL. This will activate the debugger and show you detailed information about each action happening within your workflow.   **Step-by-Step Execution** While in debug mode, use the step-through feature to move through your workflow one action at a time. This allows you to see the impact of each step and identify where things might be going wrong. Pay attention to the data being passed between actions.   **Check Conditions and Constraints** Conditional statements and constraints could be the root of the issue. Verify that all conditions are correctly set and that data constraints are logical. Conditions should not conflict with each other and should make sense within the context of your workflow.   **Inspect Data Sources** Ensure that the data being used in your workflow is accurate and up-to-date. Use Bubble.io's data inspector to view and modify your data sources. Incorrect or outdated data can lead to unexpected behavior in your workflow.   **Console and Browser Tools** Leverage your browser's console and developer tools. Sometimes, issues might not just be within Bubble but can involve browser-related problems. Using developer tools, you can inspect elements, track network requests, and read error logs that might provide additional clues.   **Output Steps for Verification** Implement temporary output steps that help you verify data at different stages of the workflow. For example, you can create placeholder text elements that display dynamic data from each step of the workflow. This helps you track data transformations and ensures you're getting expected results.   **Community and Documentation** Don't hesitate to consult Bubble.io's community forums and documentation. Other users might have faced similar issues and can offer solutions. Additionally, the official documentation is a vital resource for troubleshooting workflows.   **Test Variations of Inputs** Try different sets of input data to see if the issue persists. If the workflow behaves correctly with some inputs but fails with others, this could indicate a problem with how certain data types are being handled.   **Rollback and Simplify** If you're stuck, consider rolling back recent changes to pinpoint the issue. Simplify your workflow by temporarily removing complex steps or branching logic. Once the basic structure works correctly, gradually reintroduce the complex elements and test after each addition.   **Set Up Alerts** Add custom alerts (popups, notifications) that trigger during key steps of your workflow. This helps you know exactly which parts of the workflow are being executed and can make it easier to identify where things go wrong.