Every Salesforce Administrator and Developer knows the feeling: you need to modify, rename, or deactivate a seemingly innocent picklist value, but you’re hesitant to pull the trigger. Why? Because standard Salesforce dependency tools only tell you if the field is used—not where that specific value is hardcoded inside your Flows, Validation Rules, Apex classes, or Formula fields. One wrong click can trigger a domino effect of broken automations across your production org.

Join the Montreal Salesforce Virtual User Group for a deep dive into the world of impact analysis. Our special guest speaker, Omar Saneh, will walk us through best practices for safely managing metadata dependencies.

During this interactive session, Omar will demonstrate his game-changing, free tool: the Picklist Impact Checker Chrome extension. Designed specifically to solve this exact ecosystem pain point, this tool helps you map out value-level dependencies instantly, transforming hours of manual metadata searches or VS Code digging into a seamless, few-clicks process.

https://chromewebstore.google.com/detail/picklist-impact-checker/njhkcflgfpcphilghilnjljigjncjjel?authuser=0&hl=en

What You’ll Learn

The Anatomy of a Picklist Change: Understanding how modifications ripple across Record Types, Global Value Sets, and downstream automation.

Proactive Impact Analysis: A checklist approach to auditing your org before introducing technical debt or breaking business-critical processes.

Tool Spotlight: A live demo of the Picklist Impact Checker extension, showing you how to scan your org for hidden value dependencies in seconds.

Real-World Scenarios: How to handle historical data cleanups and safely transition legacy picklist values without ruining your executive reports.

Who Should Attend?

Salesforce Administrators looking for a foolproof way to manage configuration requests without unexpected errors.

Salesforce Developers & Architects wanting to streamline their pre-deployment impact assessments and code audits.

Business Analysts & Product Owners who want to understand the technical scope and timeline of data model changes.